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Hardware Engineer, II - Electrical
Torc Robotics is commercializing Level 4 self-driving semi-trucks for safe, sustained, long-haul freight innovation, focusing on hub-to-hub operations.
Education Requirements:
Bachelor’s or Master’s degree in Electrical Engineering, Mechatronics, or a related field
Experience Requirements:
3+ years of experience in electrical design for complex electromechanical systems, preferably in automotive, robotics, or aerospace
Strong understanding of vehicle power architecture, including 12V/24V systems, DC power routing, power protection, and load management
Familiarity with CAN/LIN bus protocols, Automotive Ethernet (100/1000BASE-T1), and coaxial transmission (e.g., for cameras or radar)
Experience with harness design tools (Zuken preferably) and/or PCB design tools
Proficient in debugging electrical systems using lab equipment such as oscilloscopes, logic analyzers, and power analyzers
Other Requirements:
Experience writing, managing, and validating technical requirements in a systems engineering environment
Comfortable working in a hands-on development and testing environment, including lab and vehicle-based work
Responsibilities:
Design and document low- and high-voltage vehicle wiring systems, including compute and sensor harnessing
Develop detailed schematics and/or PCB layouts for power distribution, sensor interfacing, and control modules
Specify and integrate vehicle power distribution systems, including fusing, grounding, power converters, and relays
Design and troubleshoot automotive communication networks, including CAN, LIN, Automotive Ethernet, and coaxial signal paths (e.g., for cameras or radar)
Create and manage detailed harness drawings including connector selection, wire sizing, shielding, and breakout strategies
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Machine Learning Engineer I - App Engine (CUDA/C++)
Torc Robotics is commercializing Level 4 self-driving semi-trucks for safe, sustained, long-haul freight innovation, focusing on hub-to-hub operations.
Benefits:
A competitive compensation package that includes a bonus component and stock options
100% paid medical, dental, and vision premiums for full-time employees
401K plan with a 6% employer match
Flexibility in schedule and generous paid vacation (available immediately after start date)
Company-wide holiday office closures
Education Requirements:
Bachelor’s degree in Computer Science, Electrical Engineering, or related field
Master’s degree
PhD
Experience Requirements:
0–4 years of experience (with Bachelor’s)
0–2 years (with Master’s)
0–2 years (with PhD)
Strong programming skills in C++
Familiarity with Linux development environments
Other Requirements:
Exposure to CUDA, GPU programming concepts, or machine learning frameworks (e.g., PyTorch)
Eagerness to learn, contribute, and grow in an applied ML engineering environment
Internship or project experience involving distributed systems, GPU programming, or embedded software
Responsibilities:
Develop and maintain components of the App Engine runtime and SDK supporting ML workloads on embedded GPUs
Assist in implementing message-passing and data handling between distributed compute nodes
Contribute to testing, debugging, and performance tuning of ML integration features
Work closely with senior engineers to learn and apply best practices in GPU programming and embedded ML deployment
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Machine Learning Engineer II - App Engine (CUDA/C++)
Torc Robotics is commercializing Level 4 self-driving semi-trucks for safe, sustained, long-haul freight innovation, focusing on hub-to-hub operations.
Benefits:
A competitive compensation package that includes a bonus component and stock options
100% paid medical, dental, and vision premiums for full-time employees
401K plan with a 6% employer match
Flexibility in schedule and generous paid vacation (available immediately after start date)
Company-wide holiday office closures
Education Requirements:
Bachelor’s degree in Computer Science, Electrical Engineering, or related field
Master’s degree
PhD
Experience Requirements:
4+ years of experience (with Bachelor’s)
2+ years (with Master’s)
1+ years (with PhD)
Proficiency in C++ (C++14 or newer)
Linux development
Other Requirements:
Hands-on experience with CUDA
Understanding of parallel programming, GPU acceleration, or real-time systems
Strong problem-solving skills and ability to collaborate in a fast-paced environment
Familiarity with PCIe, Ethernet-based interconnects, or embedded device programming
Familiarity with and at least one ML framework (e.g., PyTorch)
Responsibilities:
Implement and optimize software components supporting distributed execution of ML models on embedded GPU platforms
Contribute to message-passing, resource management, and runtime feature development for the App Engine SDK
Profile and optimize GPU utilization, reducing latency and maximizing throughput for ML workloads
Collaborate with feature teams to integrate and validate App Engine functionality in vehicle and simulation environments
Maintain clean, efficient C++ code and unit/integration tests
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Manager, Engineering - App Engine (CUDA)
Torc Robotics is commercializing Level 4 self-driving semi-trucks for safe, sustained, long-haul freight innovation, focusing on hub-to-hub operations.
Benefits:
A competitive compensation package that includes a bonus component and stock options
100% paid medical, dental, and vision premiums for full-time employees
401K plan with a 6% employer match
Flexibility in schedule and generous paid vacation (available immediately after start date)
Company-wide holiday office closures
Education Requirements:
Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Robotics, or a related technical field
Experience Requirements:
3+ years of full-cycle people management experience
Deep technical expertise with CUDA, GPU parallel computing, and inference optimization
Strong proficiency in C++ and Linux-based development with knowledge of real-time systems
Experience with ML frameworks (PyTorch, TensorRT, ONNX) and model deployment pipelines
Proven leadership managing software engineering teams in complex, cross-functional environments
Other Requirements:
Strong understanding of system-level integration and safety-critical requirements
Ability to thrive in a fast-paced, dynamic, and highly collaborative environment
Hands-on leadership style — comfortable diving into technical discussions and design reviews
Experience building or managing application/middleware frameworks for production AV or ADAS systems
Familiarity with ISO 26262, ASPICE, or other regulated safety standards
Responsibilities:
Lead and grow a team building the application framework that integrates deep learning models into Torc’s autonomy stack
Drive technical execution across key focus areas: CUDA optimization, GPU resource management, model conversion pipelines (PyTorch, TensorRT, ONNX), and real-time system integration
Ensure reliability, determinism, and scalability across multi-sensor autonomous driving workloads
Partner with cross-functional teams (Perception, Planning, Systems, Validation, Hardware, Safety) to align technical direction and integration priorities
Mentor, coach, and develop engineers while cultivating a collaborative, high-trust team culture
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Manager, Engineering - Platform Design & Build
Torc Robotics is commercializing Level 4 self-driving semi-trucks for safe, sustained, long-haul freight innovation, focusing on hub-to-hub operations.
Benefits:
A competitive compensation package that includes a bonus component and stock options
100% paid medical, dental, and vision premiums for full-time employees
401K plan with a 6% employer match
Flexibility in schedule and generous paid vacation (available immediately after start date)
AD+D and Life Insurance
Education Requirements:
Bachelor’s degree in Mechanical Engineering, Electrical Engineering, or related field
Master’s degree preferred
Experience Requirements:
7+ years of relevant engineering experience in mechanical, hardware integration, or automotive systems roles
3+ years of experience managing or leading technical engineering teams in a hands-on environment
Strong foundation in mechanical product development, system integration, or vehicle-level design
Proven ability to lead hybrid teams (engineers + technicians) toward complex build and delivery goals
Skilled in requirements management, DFMEA processes, design documentation, engineering analysis, and iterative prototyping
Other Requirements:
Effective communicator, able to work across disciplines and manage trade-offs under tight timelines
Experience with 3D CAD tools (e.g., CATIA, NX, SolidWorks), wiring schematics, or electrical integration
Background in prototype or low-volume hardware integration for automotive, robotics, or aerospace applications
Experience interfacing with contract manufacturers or build shops
Familiarity with fast-paced environments involving rapidly changing requirements and tight turnarounds
Responsibilities:
Lead day-to-day execution for prototype integration and low-volume builds of autonomous trucking systems and supporting infrastructure
Oversee a blended team of engineers and technicians, ensuring seamless alignment between system requirements, DFMEA findings, and physical implementation
Own and evolve internal engineering processes for mechanical and electrical design, requirements management, integration reviews, prototype validation, and feedback to upstream design teams
Provide hands-on technical leadership in areas such as mechanical packaging, wire harness routing, design reviews, and vehicle bring-up
Manage staffing, performance management, coaching, career development, and compensation planning for a ~6–8 person team
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Staff Product Designer
Jasper is an AI platform that unifies brand experience, accelerates content velocity, and automates marketing processes for modern marketing teams.
Benefits:
Mutuelle coverage for hospitalisation and mental health care provided through Alan Comprehensive healthcare plan
Flexible PTO with a FlexExperience budget (€552 annually)
FlexWellness program (€1,640 annually)
Generous budget for home office set up
€1,375 annual learning and development stipend
Experience Requirements:
Portfolio with a history of impactful projects that showcase your design process.
Demonstrate a proven track record of iterating on products post-launch based on user data about how the designs are performing.
Other Requirements:
Demonstrate strong UX/UI, interaction in the context of AI and visual design skills, along with a human-centric approach to designing products.
Able to understand a complex system, able to turn sophisticated consumer problems into simple and engaging products/features, able to think strategically about business problems and inventing UX concepts to solve them.
Comfortable working in a fast-paced environment and collaborating with other designers, product managers, engineers, UX researchers, data analysts, customer support teams, marketers, and more.
A bias for action and prioritized focus on how your work impacts users and the business.
Fluency in commonly used design software and related tools WYSIWYG editors (Figma, Sketch, Adobe CS, etc.)
Responsibilities:
Design end-to-end user experiences through collaborative brainstorming, user journeys, interactive prototypes, and polished visual design comps.
Design intuitive, effective interactions between humans and AI, whether through chat interfaces or traditional UI elements, with a focus on making AI capabilities feel natural and empowering.
Lead strategy sessions with Product Managers to break down complex, ambiguous problems into sophisticated solutions.
Lead user research for your team's scope and collaborate with our internal UX research team
Use research and qualitative data to guide design and development decisions.
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Staff Embedded Software Engineer
BrightAI is a platform providing Physical AI for essential services, transforming critical infrastructure management from reactive to proactive using AI-driven operations.
Education Requirements:
BS/MS degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
Experience Requirements:
7+ years of experience in embedded software development, with a strong emphasis on embedded Linux systems.
Proven expertise in embedded Linux development, including deep knowledge of the kernel and the ability to work with low-level system components.
Extensive experience reading, debugging, and optimizing driver/C code, including understanding complex kernel internals.
Advanced knowledge of networking protocols in the context of embedded Linux systems (TCP/IP, UDP, CAN bus, RESTful APIs).
Significant experience with embedded communication protocols (I2C, SPI, UART), and system-level data exchange.
Other Requirements:
Proficiency in systems programming using languages like Rust, Go, or C, with a focus on writing efficient, resource-constrained applications.
Deep familiarity with source control (Git) and development workflows.
Expertise in building high-performance applications that integrate embedded sensors, with a keen understanding of hardware limitations and performance trade-offs.
Advanced skills in designing optimized solutions using Rust, Python, or Go for embedded systems with stringent resource constraints.
Strong background in math-based programming, with the ability to apply linear algebra for complex tasks like kinematics and leveraging tools such as NumPy.
Expert knowledge in trigonometry and its application in LIDAR systems.
Experience in developing AI/ML solutions, with hands-on expertise in frameworks such as OpenCV and PyTorch for embedded applications.
Deep experience in system architectures, including event-driven and modular design approaches, as well as abstracting hardware layers (HAL, sensor fusion, application layers).
Advanced knowledge of containerization technologies (Docker, cgroups, etc.) and their application in embedded systems.
Strong background in Android platform development (AOSP, etc.), with a focus on embedded systems.
Proven experience in developing, maintaining, and scaling CI/CD pipelines, particularly with tools like GitHub Actions, to ensure high-quality, automated build and release processes.
Responsibilities:
Lead the design, development, and maintenance of embedded Linux software applications.
Drive cross-functional collaboration, leading technical discussions with product managers, cloud engineers, and mobile engineers to ensure alignment on system architecture and design goals.
Architect and optimize networking protocols such as TCP/IP, UDP, CAN bus, and RESTful APIs within embedded systems, ensuring efficient, high-performance communication between devices.
Lead the integration of embedded communication protocols like I2C, SPI, and UART, facilitating robust data exchange across various embedded system components.
Provide expert support during hardware bring-up, ensuring smooth integration with BSPs, Linux device drivers, and ongoing OS maintenance.
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IT Support Specialist
BrightAI is a platform providing Physical AI for essential services, transforming critical infrastructure management from reactive to proactive using AI-driven operations.
Education Requirements:
Bachelor’s degree in Computer Science, Information Technology, or relevant experience preferred
Relevant certifications in IT administration, security, or networking are a plus
Experience Requirements:
Experience administering device management and endpoint security solutions in a business environment
Experience configuring and supporting enterprise-grade wireless networks
Hands-on expertise with SSO and identity management platforms (Okta)
Use of ticketing systems to track work and resolutions (Jira)
Strong troubleshooting skills for both Mac and Windows laptops
Other Requirements:
Excellent written and verbal communication skills
Experience with cloud productivity platforms and services
Working knowledge of AWS and GitHub
Experience with additional security tools (e.g. VPN, Zero Trust solutions)
Familiarity with scripting or automation (e.g. Bash, Terraform) is a plus
Ability to work independently and as part of a collaborative team
Responsibilities:
Device Management: Administer and maintain mobile device and endpoint management systems for both Mac and Windows devices, ensuring compliance with security policies and efficient deployment of updates and applications.
Physical Asset Management: Track, inventory, and manage the lifecycle of IT hardware assets—including laptops, desktops, and related equipment.
Endpoint Security: Oversee endpoint protection solutions, monitor for threats, and respond to security incidents as needed.
SSO and Identity Management: Configure, maintain, and troubleshoot SSO and identity management systems—including user licensing, provisioning, deprovisioning, and integration with business applications.
Network Configuration: Design, deploy, and maintain secure, scalable enterprise networks, ensuring optimal WiFi performance and security for all users.
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Testing and Integration Manager
BrightAI is a platform providing Physical AI for essential services, transforming critical infrastructure management from reactive to proactive using AI-driven operations.
Education Requirements:
Bachelor’s degree in Electrical Engineering, Computer Engineering, Software Engineering, or a related discipline.
Experience Requirements:
8+ years of relevant engineering experience, with at least 2 years in a leadership or managerial capacity.
Strong technical background in systems engineering, embedded systems, hardware-software integration, and electronic hardware design/testing.
Hands-on experience with development and test tools (oscilloscopes, logic analyzers, test automation tools, lab instruments).
Proven track record of delivering complex, cross-functional engineering projects on time and within budget.
Proficiency in testing frameworks and tools, especially in systems with custom hardware/firmware.
Other Requirements:
Passionate about integration, testing, and quality in continuous improvement development processes.
Ability to carefully address test case coverage especially for tough to find corner cases.
Act as the eyes and ears of the customer to discover issues early.
Strong experience with continuous integration (CI) and continuous deployment (CD) practices and tools (e.g., Jenkins, GitLab CI).
Knowledge of version control systems, particularly Git, and experience with GitHub or GitLab workflows.
Ability to work effectively in a collaborative, fast-paced, and iterative development environment.
Strong communication skills, with the ability to clearly document issues and test findings for cross-functional teams.
Exposure to AI, ML, or IoT-related technologies.
Experience with a variety of sensor solutions
Robotics experience a plus
Familiarity with Linux microservices architecture and containerization (Docker, Kubernetes).
Familiarity with cloud technologies (AWS, Azure, or GCP) and cloud-native architectures.
Previous experience working in a high-growth startup environment.
Responsibilities:
Lead, mentor, and develop a multidisciplinary team of systems integrators, test engineers, and quality focused engineers.
Oversee the integration of hardware, firmware, and software components into cohesive and functional systems.
Define testing strategies, validation plans, and automated test frameworks.
Establish and enforce quality assurance approaches across the development lifecycle.
Monitor KPIs related to product reliability, defect rates, and process efficiency.
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Developer Relations Engineer
Devin is an AI software engineer from Cognition, designed for autonomous task completion, learning, and collaboration within engineering teams.
Other Requirements:
Share an example of exceptional performance or something you've built that you're most proud of.
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QA Engineer (Automation & AI-Driven Testing)
Fastbreak AI is an ultimate AI-powered sports operations engine, offering intelligent software for sports league scheduling, tournament management, and brand sponsorship.
Benefits:
Competitive salary and comprehensive benefits
Health insurance, dental insurance, and vision insurance options
A 401(k) plan with matching employer contributions
An environment where your efforts will make a measurable impact
Education Requirements:
A BA/BS degree
Experience Requirements:
3+ years experience as a QA engineer, preferably with a SaaS or internet company
Other Requirements:
A self-starter with a proactive approach to identifying and resolving testing challenges
The ability to work autonomously while collaborating effectively in a team environment
Strong multitasking skills, capable of handling multiple testing projects simultaneously
Experience in test automation for both web (Next.js, Node.js) and mobile applications
Knowledge of AI-powered testing tools and frameworks
Proficiency in manual testing techniques when necessary
Experience using JIRA for bug tracking and managing test cases
Experience with CI/CD pipelines and integrating automated tests into development workflows
Hands-on experience with Selenium, Appium, Cypress, Playwright, or other test automation tools
Familiarity with JavaScript/TypeScript-based automation frameworks
Knowledge of performance and load testing tools
Responsibilities:
Design, develop, and maintain automated test suites for web and mobile applications
Utilize AI-driven tools to optimize and enhance testing processes
Perform manual testing when necessary to validate new features and bug fixes
Take ownership of the end-to-end testing process, identifying gaps and proposing improvements
Work closely with developers, product managers, and other stakeholders to define test plans and strategies
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Product Solutions Manager
ExamRoom.AI is a unified assessment platform that provides AI-powered solutions for exam creation, delivery, proctoring, analytics, and credentialing.
Education Requirements:
Bachelor’s degree in Business Administration, Public Policy, Political Science, Communications, or a related field
Experience Requirements:
5+ years of experience in proposal management, business development, or product solutions, with a strong focus on government RFPs
Proven experience with lobbying at state and federal levels is a must
Experience in project management, proposal writing, and compliance review
Demonstrated experience working with legal teams and procurement processes
Experience in managing high-volume proposals with strict deadlines
Other Requirements:
Excellent written and verbal communication skills with the ability to create clear, compelling, and compliant proposal content
Ability to interpret complex RFP language and translate technical information into clear, concise responses
Skilled in drafting and reviewing formal business correspondence and legal documents
Strong ability to review and interpret pricing models and cost proposals
Capable of performing basic to intermediate financial calculations for cost accuracy and compliance
Proficiency in analyzing bid-related financial data and ensuring precise numerical presentation in proposals
Strong analytical and problem-solving skills with the ability to interpret and apply RFP requirements accurately
Demonstrated ability to think strategically when developing proposal content and responding to procurement inquiries
Capable of facilitating effective decision-making during bid meetings
High attention to detail to ensure compliance with legal and procurement guidelines
Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, and Outlook)
Experience using proposal management software (e.g., Loopio, RFPIO) or CRM tools
Skilled in document formatting and version control for proposal submissions
Ability to efficiently track and manage bid details using databases or project management tools
Proposal management certifications (e.g., APMP Certification) are preferred but not required
Project management certification (e.g., PMP) is a plus
Occasional travel may be required for lobbying efforts, client meetings, or bid presentations
Willingness to travel to state and federal offices or procurement sites as needed
Responsibilities:
Take responsibility for the entire proposal process from RFP receipt to high-quality proposal creation and delivery in a high-volume, deadline-driven environment
Work closely with team members, Subject Matter Experts (SMEs), Business Development, and other key staff to develop and deliver high-quality, compelling proposals
Project manage bid assignments, including facilitating bid kick-offs, managing the bid schedule, and performing related tasks
Review RFP in detail and identify mandatory business requirements
Draft and submit RFP questions to procurement officers
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Post-Quantum Cryptography & Automation Engineer
ExamRoom.AI is a unified assessment platform that provides AI-powered solutions for exam creation, delivery, proctoring, analytics, and credentialing.
Education Requirements:
Bachelor’s degree in Information Technology, Computer Science, Cybersecurity, or a related field is required
In lieu of a degree, a comparable combination of education, job-specific certifications, and relevant experience (including military service) will be considered
Experience Requirements:
Minimum of five (5) years of relevant industry experience is required
Experience with Venafi and Active Directory Certificate Services (ADCS) is highly desirable
Records management and experience handling compliance audits are a plus
Prior industry experience in highly regulated sectors (e.g., finance, healthcare, technology) is preferred
Deep understanding of certificate lifecycle management and cryptographic principles, including emerging post-quantum encryption standards (e.g., NIST PQC algorithms)
Other Requirements:
Excellent communication skills, especially in simplifying complex technical concepts for non-technical stakeholders
Adaptability to stay current with evolving security threats and technologies, including advancements in quantum computing and their impact on cryptographic integrity
High attention to detail and a strong ethical commitment to data privacy
Ability to read, analyze, and interpret technical documentation and regulatory requirements
Ability to communicate effectively and professionally, both verbally and in writing
Capable of preparing reports and presenting findings to technical and non-technical audiences
Ability to perform basic to advanced mathematical operations related to algorithmic design, metric analysis, and cryptographic calculations
Strong analytical thinking and judgment to troubleshoot and resolve complex technical issues
Ability to interpret diverse technical problems and make logical decisions within a fast-paced environment
Expert-level skills in PowerShell and/or Python scripting
Experience with Microsoft 365, Azure, AWS, and Purview
Familiarity with security solutions, including endpoint protection tools, VPNs, firewalls, and intrusion detection systems
Experience using Power BI and Power Automate for metrics and workflow automation
Proficient in working within governance and compliance tools to ensure data protection
Security certifications (e.g., CISSP, CISM, CEH, or Microsoft/AWS security certifications) are a plus
Limited off-hours on-call support rotations
Responsibilities:
Design, build, and maintain secure technology solutions with a focus on certificate lifecycle management, post-quantum cryptography, and automation
Evaluate and implement certificate automation practices using tools like Venafi and ADCS/PKI
Provide engineering support and subject matter expertise related to TLS communications, quantum-resilient cryptographic standards, and certificate troubleshooting
Collaborate with architecture teams to translate high-level architectural designs into actionable implementation plans, including sizing, operationalization, and future-proofing for post-quantum threats
Develop implementation, configuration, and engineering documentation for technology rollouts, including migration strategies to quantum-safe cryptographic protocols
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Inside Sales Intern
ExamRoom.AI is a unified assessment platform that provides AI-powered solutions for exam creation, delivery, proctoring, analytics, and credentialing.
Education Requirements:
Currently pursuing or recently completed a Bachelor’s degree in Business, Marketing, Communications, or a related field
Experience Requirements:
Prior internship or part-time experience in a sales, marketing, or customer-facing role is preferred but not required
Interest in SaaS, education technology, or B2B sales is required
Demonstrated ability to work collaboratively in a team setting and take initiative on assigned tasks
Other Requirements:
Strong verbal and written communication skills
Ability to draft professional emails and contribute to internal and client-facing communications
Comfortable presenting ideas clearly in meetings and written reports
Basic proficiency in analyzing numerical data and interpreting charts or reports
Comfortable working with metrics such as conversion rates, revenue projections, and pipeline stages
Ability to think critically and apply logical steps when problem-solving
Capable of prioritizing tasks and adjusting to shifting deadlines or project needs
Willingness to ask questions and seek clarity when working through unfamiliar tasks
Proficiency with Microsoft Office, particularly Excel/Sheets, Word/Docs, and PowerPoint/Slides
Experience using or willingness to learn CRM tools (e.g., HubSpot)
Comfortable navigating online platforms and communication tools such as Microsoft Teams
This position does not require travel
Responsibilities:
Assist with identifying potential client leads through online research, databases, and digital outreach
Support outbound email and call campaigns, helping initiate contact with educational institutions and corporate training providers
Help maintain and update the sales pipeline in our CRM system (HubSpot), ensuring data accuracy and timely follow-ups
Assist in managing communication with prospective and existing clients under the supervision of the sales team
Track customer interactions and help prepare materials for client onboarding and relationship management
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Solutions Engineer
Robust.AI develops and deploys AI-powered, autonomous, and collaborative robots for warehouse and manufacturing, designed to enhance human workflows and efficiency.
Benefits:
Health, Dental, Vision, Life Insurance
Stock options
Flexible vacation and sick leave practices
Remote work
Opportunity for career growth
Education Requirements:
Undergraduate or graduate students in Computer Science, Robotics, Industrial Engineering, Operations Research, or related fields
Experience Requirements:
Proficiency in CAD
Experience with data analysis platforms such as python, excel, powerBI, etc…
2+ years of experience in warehouse design leveraging AMR/AGV’s or like technologies
Understanding of warehouse optimization techniques (batch picking, order clustering, SKU slotting)
Other Requirements:
Interest in warehousing, distribution, supply chain, and automation
Individuals passionate about robotics, automation, and warehouse logistics
Problem-solvers who enjoy working on complex, real-world challenges
Ability to travel 20-30%
Fluent in English, Spanish, and Portuguese is a huge plus
Responsibilities:
Gather customer requirements and develop solutions that solve real problems and bring tangible results
Communicate and leverage the advantages of Robust.AI in both sales and engineering efforts
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Staff Software Engineer, Computer Vision, Embedded Systems and CUDA
Robust.AI develops and deploys AI-powered, autonomous, and collaborative robots for warehouse and manufacturing, designed to enhance human workflows and efficiency.
Benefits:
Stock options and huge growth potential
Strong startup (and fun) culture
Medical, Dental, and Vision coverage
Flexible vacation and sick leave practices
Paid parental leave
Education Requirements:
BS, MS, or PhD in Computer Science, Software Engineering, Electrical Engineering, or a related field
Experience Requirements:
4+ years of experience in software engineering
Expertise in C++ and CUDA C
Proven ability to optimize software for NVIDIA Jetson platforms
Excellent software engineering and algorithm development skills
Familiarity with Nvidia’s edge inference ecosystem (VPI, TensorRT, Deepstream, Isaac ROS, GXF, etc.)
Other Requirements:
Experience optimizing 2D and 3D vision algorithms for NVIDIA Jetson (e.g., stereo vision, optical flow, detection, tracking, pose estimation)
Familiarity with deep learning algorithms and pipelines
Experience with sensor calibration (both extrinsic and intrinsic), including multi-camera systems
Proficiency with specialized libraries and frameworks (e.g., PyTorch, TensorFlow, OpenCV, PCL)
Experience with robotics system transport layers (e.g., ROS, GRPC, NATS, ZeroMQ)
Responsibilities:
Lead optimization efforts for on-robot software and coordinate across teams
Collaborate with perception and robotics teams to develop, deploy, and optimize code for NVIDIA Jetson platforms
Scale and refine cutting-edge research to ensure efficient performance on robotic compute and sensor systems
Write clean, efficient, and well-tested code
Create thorough documentation for seamless API understanding
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Lead Frontend Engineer
Robust.AI develops and deploys AI-powered, autonomous, and collaborative robots for warehouse and manufacturing, designed to enhance human workflows and efficiency.
Benefits:
Stock options and huge potential for growth
Strong startup (and fun) culture
Medical, Dental, and Vision coverage
Flexible vacation and sick leave practices
Paid parental leave
Experience Requirements:
Minimum 7+ years of professional software engineering experience, with a strong emphasis on front-end development
Deep proficiency and extensive hands-on experience with React and its core principles (hooks, context API, etc.)
Strong understanding of JavaScript (ES6+), HTML5, CSS3, and modern web standards
Experience with state management libraries (e.g., Redux, Zustand, Context API)
Familiarity with modern frontend build pipelines and tools (e.g., Webpack, Vite, Babel, npm/yarn)
Other Requirements:
Experience writing and maintaining frontend tests using frameworks like Jest, React Testing Library, or similar
Experience with TypeScript
Experience with server-side rendering (SSR) or static site generation (SSG) frameworks (e.g., Next.js, Remix)
Experience with UI component libraries and design systems
Experience with performance monitoring and optimization tools
Responsibilities:
Design, develop, test, deploy, and maintain robust web applications using React/Next.js
Lead frontend architectural decisions, ensuring solutions are well-engineered, maintainable, and aligned with long-term technical strategy
Translate requirements and designs into high-quality, production-ready code
Own the end-to-end delivery of frontend features, from technical design to deployment and monitoring
Collaborate effectively with backend engineers, product management, and other stakeholders
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Embedded Engineer
Robust.AI develops and deploys AI-powered, autonomous, and collaborative robots for warehouse and manufacturing, designed to enhance human workflows and efficiency.
Benefits:
Stock options and huge potential for growth
Strong startup (and fun) culture
Medical, Dental, and Vision coverage
Flexible vacation and sick leave practices
Paid parental leave
Education Requirements:
Bachelor's degree in engineering, computer science or equivalent
Experience Requirements:
5 years of expertise in embedded software, proficient in C and C++
Proficient experience with microcontrollers, preferably within the STM32 family
Familiarity with communication protocols such as USB, I2C, SPI, UART, RS485, etc.
Proven track record in bare metal embedded systems
Hands-on experience in firmware development, testing, and system-level bring-up
Other Requirements:
Experience debugging embedded systems with tools such as scopes and logic analyzers
Experience in PCB design and prototyping
Experience in conducting bench modifications and fast development of hardware/firmware prototypes
Ability to collaborate and communicate complex technical concepts both verbally and with documentation
Previous experience working with robotic or mechatronic systems
Responsibilities:
Design, development, debugging, integration, and maintenance of embedded system firmware for both new designs and existing products
Collaborate with the team to formulate firmware architecture and design
Write well-crafted, well-tested, readable, and maintainable code, adhering to software engineering best practices
Design, prototype, and iterate custom PCBs for the robot
Engage with cross-functional engineering team members to fulfill and enhance performance requirements while optimizing hardware/software interfaces
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Electrical Engineer
Robust.AI develops and deploys AI-powered, autonomous, and collaborative robots for warehouse and manufacturing, designed to enhance human workflows and efficiency.
Benefits:
Stock options and huge potential for growth
Strong startup (and fun) culture
Medical, Dental, and Vision coverage
Flexible vacation and sick leave practices
Paid parental leave
Education Requirements:
Bachelor's degree in engineering, computer science or equivalent
Experience Requirements:
5 years of expertise in embedded software, proficient in C and C++
Familiarity with communication protocols such as USB, I2C, SPI, UART, RS485, etc.
Hands-on experience in firmware development, testing, and system-level bring-up
Experience in PCB design and prototyping
Experience in conducting bench modifications and fast development of hardware/firmware prototypes
Other Requirements:
Ability to collaborate and communicate complex technical concepts both verbally and with documentation
Responsibilities:
Design, prototype and iterate custom PCBs for the robot
Design, development, debugging, integration, and maintenance of embedded system firmware for both new designs and existing products
Collaborate with the team to formulate firmware and electrical architecture
Write well-crafted, well-tested, readable, and maintainable code, adhering to software engineering best practices
Generate design documentation and lead design and code reviews
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