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

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

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:

• BS in Mechanical Engineering or equivalent

Experience Requirements:

• Experience with Solidworks & PDM

• Experience working with robotic or mechatronic systems

• Experience working with and managing vendors

Other Requirements:

• Ability to communicate effectively and cross-functionally

• Ability to work independently

Responsibilities:

• Work with the mechanical team to deliver the next-generation design of our robot

• Design and manage components across the HW lifecycle (concept, design, fabrication, test, production)

• Engage cross-functionally with electrical engineering, product, and software to make sure design decisions fit within the constraints of the system

• Propose and resolve issues with current robot systems while accounting for engineering efforts and budget

• Rapidly iterate on a design by building quick prototypes

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

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

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

Benefits:

• Learning and development opportunities

• Freedom to develop to your full potential

• Opportunity to contribute to the success of a fast-growing, market-leading product

• Work from home setup and all the peripherals you need to succeed in our remote working package

• Health insurance with no waiting period including spouse and children, vaccination support, and paid maternity and paternity leaves

Education Requirements:

• Graduate Computer Science/Applications or Engineering

• ISTQB Foundation Level Certified Tester is preferred, but not mandatory

Experience Requirements:

• Minimum of 2-4 years of relevant industry experience

• Experience of working as part of a team delivering complex tasks

• Experience in API testing and working knowledge of Postman

• Hands-on experience with both white box and black box testing

• Hands-on experience in bug tracking tools like Jira

Other Requirements:

• Strong knowledge of SDLC , Software QA methodologies, tools and processes and experience writing comprehensive test plans and test cases

• Strong analytical and problem solving skills

• Excellent written and spoken communication skills

• Self-starter, quick learner who enjoys working in a challenging, fast paced environment

Responsibilities:

• Analyze requirements, specifications and technical design documents to provide timely and meaningful feedback

• Create detailed, comprehensive and well-structured test plans and test cases

• Perform Functional and API Testing

• Record Test results and maintain the execution log

• Report and document defects in defect tracking tool following agreed upon processes on discovery of quality problems and ensure minimal bug leakage

Benefits:

• Your growth is our growth

• Respect for individuality

• Technology for people

• Happy work environment

• Health and well-being support

Experience Requirements:

• 2-3 Years

Benefits:

• Your growth is our growth

• Respect for individuality

• Technology for people

• Happy work environment

• Health and well-being support

Experience Requirements:

• 5+ Years

Benefits:

• Your growth is our growth

• Respect for individuality

• Technology for people

• Happy work environment

• Health and well-being support

Experience Requirements:

• 4-6 Years

Benefits:

• Your growth is our growth

• Respect for individuality

• Technology for people

• Happy work environment

• Health and well-being support

Experience Requirements:

• 2-3 Years

Experience Requirements:

• Experience in ML model or ML data pipeline deployment (on-prem or on cloud)

• Experience in building backend for application or platform API systems

• Senior Level experience

• Experience in using or contributing to modern compute frameworks for LLMs (e.g. Deepspeed, Huggingface TGI, FSDP)

• Experience in projects involving LLMs

Responsibilities:

• API system development for copilot & agent quality tooling

• API system development for copilot serving and integration with enterprise-grade requirements

• Integration with on-prem & cloud compute vendors

• Integration with software tools required in customer oriented solutions

• Collaborate with the whole team for product development, deployment and customer success

Experience Requirements:

• 3+ years experience in full-stack web development

• Proficient in developing web applications using React.js, Next.js, TypeScript, and Tailwind CSS

• Experience with backend API system development & deployment on cloud (e.g. AWS)

• Strong understanding of HTML, CSS, and JavaScript

• Experience in building ML applications or ML platforms

Responsibilities:

• Full-stack development in dev tooling and applications for GenAI copilots & agents

• Spearheading the development and maintenance of high-quality web front-end using React.js

• Contributing to the backend API system for cloud or on-prem deployment

• Staying updated on emerging technologies and best practices in web development

• Collaborating with Nexusflow.ai’s full team for product development, deployment and customer success

Experience Requirements:

• Research or industrial engineering experience in large language model or multi-modality models

• Experience in data curation for LLMs

• Experience in pre-training or instruction tuning for LLMs

• Experience in building copilots & agents

• Experience in capability study and benchmarking for LLMs

Responsibilities:

• Develop LLMs targeted at powering copilots and agents built for enterprise workflows

• Develop toolings to attain last-mile quality and robustness for copilot & agents applications

• Building copilot & agent application solutions for high value customer verticals

• Collaborate with the whole team for product development, deployment and customer success

Benefits:

• An opportunity to advance the cutting-edge of LLM research and directly revolutionize work in the enterprise space.

• Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.

• Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.

• Competitive salary and benefits package, including equity options and healthcare.

• Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity. Editorial Note: The original extract provided 6 distinct benefits. Given the schema limit of 5, the last benefit, "A collaborative and intellectually stimulating environment that encourages innovation and personal growth.", was omitted to adhere to the constraint.

Experience Requirements:

• Exceptional Software Engineering Skills: AI’s rapid evolution means code written today might not be useful tomorrow. We need engineers who know how to design and write stable, maintainable, and secure systems that are able to evolve. We use Python but are open to strong experience in other languages.

• Experience with AI Systems: You should know how to build a RAG system, done prompt engineering, and know the difference between precision and recall. While you'll partner with our Research Team to design these systems, you must be able to do the work to drive a POC to a production grade AI tool.

Other Requirements:

• Strong Communication and Organizational Ability: As the project technical lead, you will own relationships with customer technical teams, develop a plan with Distyl’s Project Leads, and work with the rest of the engineering team to deliver.

• Understanding of Enterprise Cloud Architectures: Our systems are deployed into our customer's environments, often into complex hybrid cloud environments. Our business is won on our Lead AI Engineer’s abillity to be trusted by customer enterprise architecture teams.

• Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.

Responsibilities:

• Develop Production Grade AI Systems: For many of our customers we are their only successful GenAI project (and not for the lack of trying). This is because our AI Engineers are experts at understanding how to use software to tame the complexity of AI. They understand power and limits of both AI and Software and build systems which bring the best of both.

• Own End to End Delivery of Custom AI Solutions: Lead AI Engineers are responsible for architecting the solution, partnering with customer engineers to deploy into the customer’s environment, and then ensure the system operates as intended.

• Earn Our Customers' Trust: AI's power has yet to be fully realized, but there are already a lot of broken promises. All Distillers are customer facing and our engineers are responsible for making sure our promises are kept. You will partner with our AI strategists and researchers to devise a solution, present it customer enterprise architects, and then educate them on how our system works.

Benefits:

• An opportunity to advance the cutting-edge of LLM research and directly revolutionize work in the enterprise space.

• Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.

• Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.

• Competitive salary and benefits package, including equity options and healthcare.

• Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity. Editorial Note: The original extract provided 6 distinct benefits. Given the schema limit of 5, the last benefit, "A collaborative and intellectually stimulating environment that encourages innovation and personal growth.", was omitted to adhere to the constraint.

Experience Requirements:

• Exceptional Software Engineering Skills: AI’s rapid evolution means code written today might not be useful tomorrow. We need engineers who know how to design and write stable, maintainable, and secure systems that are able to evolve. We use Python but are open to strong experience in other languages.

• Experience with AI Systems: You should know how to build a RAG system, done prompt engineering, and know the difference between precision and recall. While you'll partner with our Research Team to design these systems, you must be able to do the work to drive a POC to a production grade AI tool.

Other Requirements:

• Strong Communication and Organizational Ability: As the project technical lead, you will own relationships with customer technical teams, develop a plan with Distyl’s Project Leads, and work with the rest of the engineering team to deliver.

• Understanding of Enterprise Cloud Architectures: Our systems are deployed into our customer's environments, often into complex hybrid cloud environments. Our business is won on our Lead AI Engineer’s abillity to be trusted by customer enterprise architecture teams.

• Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.

Responsibilities:

• Develop Production Grade AI Systems: For many of our customers we are their only successful GenAI project (and not for the lack of trying). This is because our AI Engineers are experts at understanding how to use software to tame the complexity of AI. They understand power and limits of both AI and Software and build systems which bring the best of both.

• Own End to End Delivery of Custom AI Solutions: Lead AI Engineers are responsible for architecting the solution, partnering with customer engineers to deploy into the customer’s environment, and then ensure the system operates as intended.

• Earn Our Customer's Trust: AI's power has yet to be fully realized, but there are already a lot of broken promises. All Distillers are customer facing and our engineers are responsible for making sure our promises are kept. You will partner with our AI strategists and researchers to devise a solution, present it customer enterprise architects, and then educate them on how our system works.

Benefits:

• Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office.

• Opportunity to be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.

• Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.

• Collaborative and supportive work environment, with a strong focus on personal and professional growth.

• Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.

Education Requirements:

• Bachelor’s degree in Computer Science, Mathematics, or a related technical field.

Experience Requirements:

• 3+ years of experience as a software or machine learning engineer.

• Strong programming skills and experience with production software development.

• Expertise in machine learning frameworks (e.g., PyTorch, Transformers, Scikit-learn), data libraries (e.g., NumPy, Pandas), and ML operations.

• Experience with cloud infrastructure and modern deployment practices (e.g., CI/CD, Git, Docker, AWS/GCP/Azure).

Other Requirements:

• Strong understanding of AI/ML evaluation and how to operationalize responsible, reliable systems.

• Strong communication and collaboration skills, with the ability to work cross-functionally with customers and internal teams.

• Passion for AI and a pragmatic approach to solving real-world problems.

Responsibilities:

• LLM Systems Engineering: Design and implement robust LLM-powered systems that deliver real business value. This includes model evaluation, prompt design, agent logic, pilot development, and production deployment.

• Customer Collaboration: Work closely with customer stakeholders to understand business pain points and technical constraints, then translate these into technical architectures and applications.

• Platform Development: Contribute to the development of Distillery, our internal platform for LLM application development, by building reusable components, tools, and infrastructure to support the broader engineering team.

• Production Quality: Ensure that deployed systems are observable, maintainable, and meet rigorous performance and reliability standards.

• AI Evaluation: Apply a scientific and thoughtful approach to model vetting and evaluation, accounting for accuracy, explainability, cost, latency, and robustness. Editorial Note: The original extract provided 7 distinct responsibilities. Given the schema limit of 5, the responsibilities

Benefits:

• Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office.

• Opportunity to be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.

• Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.

• Collaborative and supportive work environment, with a strong focus on personal and professional growth.

• Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.

Education Requirements:

• Bachelor’s degree in Computer Science, Mathematics, or a related technical field.

Experience Requirements:

• 3+ years of experience as a software or machine learning engineer.

• Strong programming skills and experience with production software development.

• Expertise in machine learning frameworks (e.g., PyTorch, Transformers, Scikit-learn), data libraries (e.g., NumPy, Pandas), and ML operations.

• Experience with cloud infrastructure and modern deployment practices (e.g., CI/CD, Git, Docker, AWS/GCP/Azure).

Other Requirements:

• Strong understanding of AI/ML evaluation and how to operationalize responsible, reliable systems.

• Strong communication and collaboration skills, with the ability to work cross-functionally with customers and internal teams.

• Passion for AI and a pragmatic approach to solving real-world problems.

Responsibilities:

• LLM Systems Engineering: Design and implement robust LLM-powered systems that deliver real business value. This includes model evaluation, prompt design, agent logic, pilot development, and production deployment.

• Customer Collaboration: Work closely with customer stakeholders to understand business pain points and technical constraints, then translate these into technical architectures and applications.

• Platform Development: Contribute to the development of Distillery, our internal platform for LLM application development, by building reusable components, tools, and infrastructure to support the broader engineering team.

• Production Quality: Ensure that deployed systems are observable, maintainable, and meet rigorous performance and reliability standards.

• AI Evaluation: Apply a scientific and thoughtful approach to model vetting and evaluation, accounting for accuracy, explainability, cost, latency, and robustness. Editorial Note: The original extract provided 7 distinct responsibilities. Given the schema limit of 5, the responsibilities

Education Requirements:

• BSc in Computer Science or equivalent

Experience Requirements:

• 7+ years of experience in software development

• 5+ years of experience with Node.js

• Expert knowledge of Python capabilities and limitations

• Understanding of front-end concepts and technology (React, TypeScript)

• Experience with relational databases (such as PostgreSQL)

Other Requirements:

• Excellent communication skills

• Organized and self-driven

• Familiarity with Agile development methodologies

• Ability to work in high-paced and dynamic start-up environments

• An all-star team player with a “can do” attitude

Responsibilities:

• Design and build our scalable enterprise-grade control plane using industry best practices focusing on quality, performance, and delivery.

• Write well-crafted, tested, readable, and maintainable code.

• Participate in code design, code review, and distribution knowledge.

• Develop distribution and deployment tools for different platforms.

• Collaborate with data-scientists, product managers and other team members to ensure high-quality and timely deliverables.

Education Requirements:

• B.Sc. or higher in Computer Engineering, Electrical Engineering, or related field

Experience Requirements:

• 7+ years of hands-on experience in embedded systems development

• Strong proficiency in C/C++ and familiarity with ARM-based SoCs

• Experience with bootloaders (e.g., U-Boot), Linux kernel internals, and device drivers

• Proven experience with board bring-up and hardware/software integration

• Previous leadership or team management experience is a must

Other Requirements:

• Excellent problem-solving, communication, and interpersonal skills

• Familiarity with Yocto, Buildroot, or other embedded build systems is a plus

Responsibilities:

• Lead the BSP / Embedded development team, providing technical direction, mentorship, and guidance

• Design, develop, and maintain BSP components including bootloaders, device drivers, and board initialization code

• Collaborate with hardware teams to bring up new boards and support silicon validation

• Ensure seamless integration of BSP with Linux (or other OS) kernels and embedded software stacks

• Define and enforce coding standards, development processes, and quality benchmarks