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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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Senior UX Engineer
CodeConductor AI is an AI-driven full-code platform that streamlines app development, allowing users to build, deploy, and scale web and mobile applications quickly.
Benefits:
Competitive salary and benefits package
Opportunities for growth and professional development
A dynamic and inclusive work environment
The chance to work on cutting-edge projects that impact the future of software development
Experience Requirements:
Proven experience as a UX Engineer or similar role, with a strong portfolio showcasing your UX design and front-end development work
Proficiency in front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular
Experience with design tools such as Sketch, Figma, or Adobe XD
Strong understanding of user-centered design principles and best practices
Ability to create wireframes, prototypes, and high-fidelity mockups
Other Requirements:
Experience in working with AI-driven platforms
Knowledge of accessibility standards (WCAG) and best practices
Familiarity with user testing tools and analytics platforms
Responsibilities:
Design and implement user interfaces that are intuitive, efficient, and engaging
Collaborate with designers, product managers, and developers to translate user needs and business requirements into interactive and functional user interfaces
Conduct user research, usability testing, and feedback analysis to inform design decisions
Ensure all UI/UX designs adhere to best practices in accessibility, scalability, and responsiveness
Develop and maintain design systems and documentation to ensure consistency across the platform
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AI Applied Engineer
Radiant Security offers an AI-driven SOC automation platform that triages alerts, investigates impact, and generates tailored responses. It integrates with existing security systems and provides comprehensive security operations.
Benefits:
Generous equity package
Unlimited PTO (take time when you need it)
Top-of-market salary
Great healthcare
Experience Requirements:
Strong AI Applied Researcher with experience building complex AI applications.
Experience with NLP, ML algorithms
Experience contributing to research projects from PoC stage to production
Experience with LLMs, Agents and RAG - Advantage
Experience using LLMs / Deep Learning models - Advantage
Other Requirements:
Ability to roll up your sleeves and get things done.
A great communicator and team player.
Responsibilities:
Research and optimization agentic flows to solve complex problems
Participate in PoCs using bleeding edge technologies to empower our product
Build and optimize retrieval-augmented generation (RAG) service to improve the consistency and quality of our pipelines.
Fine tune LLMs to optimize accuracy and cost
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Senior AI Researcher
Radiant Security offers an AI-driven SOC automation platform that triages alerts, investigates impact, and generates tailored responses. It integrates with existing security systems and provides comprehensive security operations.
Benefits:
Generous equity package
Unlimited PTO (take time when you need it)
Top-of-market salary
Great healthcare
Experience Requirements:
An incredibly strong AI Applied Researcher with experience building complex AI applications.
Experience with LLMs, Agents, RAG, NLP, ML algorithms
Strong experience of leading research projects from PoC stage to production.
Other Requirements:
Ability to roll up your sleeves and get things done.
A great communicator and team player.
Responsibilities:
Lead the research and optimization of agentic flows to solve complex problems
Perform PoCs using bleeding edge technologies to empower our product
Build and optimize retrieval-augmented generation (RAG) service to improve the consistency and quality of our pipelines.
Fine tune LLMs to optimize accuracy and cost
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Engineering Manager
Radiant Security offers an AI-driven SOC automation platform that triages alerts, investigates impact, and generates tailored responses. It integrates with existing security systems and provides comprehensive security operations.
Benefits:
Health, Dental, and Vision Insurance
Stay Healthy subsidy (for gym and sports)
Unlimited PTO
Paid Paternity and Maternity Leave
Education Requirements:
Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field.
Experience Requirements:
Proven experience (5 years) in engineering management or a similar leadership role.
Strong technical background.
Excellent project management skills, with a track record of successful project delivery.
Demonstrated ability to lead and inspire a team, fostering a positive and collaborative work environment.
Other Requirements:
Strong communication skills, both written and verbal, in English and Portuguese.
Problem-solving and critical-thinking skills with attention to detail.
Familiarity with cybersecurity is a plus.
Responsibilities:
Lead, mentor, and develop a high-performing engineering team.
Foster a customer centric culture of collaboration and continuous improvement.
Provide guidance and support to team members, promoting their professional growth.
Oversee the planning, execution, and delivery of engineering projects.
Develop project timelines, allocate resources effectively, and ensure project milestones are met.
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Staff Software Engineer
Radiant Security offers an AI-driven SOC automation platform that triages alerts, investigates impact, and generates tailored responses. It integrates with existing security systems and provides comprehensive security operations.
Benefits:
Generous equity package
Unlimited PTO (take time when you need it)
Top-of-market salary
Great healthcare
401k
Experience Requirements:
An incredibly strong engineer with years of experience building complex backend applications.
Strong experience of distributed systems and techniques for building fault-tolerant, high-availability platforms.
Experience with ML algorithms, Real-time Analytics or LLMs (AI experience not required)
Other Requirements:
Ability to roll up your sleeves and get things done.
A great communicator and team player.
Responsibilities:
Integrate the LLMs against hundreds of external data sources (easily surpassing terabytes per customer).
Scale out the data platform at all levels (ingest, search, storage, aggregation and reporting).
Leverage retrieval-augmented generation (RAG) to improve the consistency of AI outcomes and avoid duplicate inference.
Improve our Agentic AI services as well as the platform they run on
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Founding Software Engineer – GPU & Compilers (relocation to London)
Symbolica is building the new foundation for enterprise-scale AI — controllable, interpretable, reliable, and secure. They are redesigning how machines learn from the ground up.
Benefits:
competitive compensation
attractive equity package
Other Requirements:
Must be available to relocate and work onsite at our brand-new London office
Responsibilities:
Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.
Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.
Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.
Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.
Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.
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ML Research Engineer (relocation to London)
Symbolica is building the new foundation for enterprise-scale AI — controllable, interpretable, reliable, and secure. They are redesigning how machines learn from the ground up.
Benefits:
Competitive compensation
including an early-stage startup equity package
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related field (PhD is a plus).
Other Requirements:
Must be available to relocate and work onsite at our brand-new London office
Responsibilities:
Conducting research into symbolic and categorical reasoning models, bridging abstract mathematics with machine learning.
Translating complex theoretical insights into scalable, efficient coding implementations.
Developing and optimizing machine learning pipelines for structured reasoning tasks, with a focus on interpretability and performance.
Building robust experimentation platforms for large-scale training and evaluation of models.
Collaborating with researchers to explore novel architectures and methodologies in logical reasoning and structured data.
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Founding Software Engineer – GPU & Compilers (relocation to London)
Symbolica is building the new foundation for enterprise-scale AI — controllable, interpretable, reliable, and secure. They are redesigning how machines learn from the ground up.
Benefits:
competitive compensation
attractive equity package
Other Requirements:
Must be available to relocate and work onsite at our brand-new London office
Responsibilities:
Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.
Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.
Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.
Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.
Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.
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ML Research Engineer (relocation to London)
Symbolica is building the new foundation for enterprise-scale AI — controllable, interpretable, reliable, and secure. They are redesigning how machines learn from the ground up.
Benefits:
Competitive compensation
including an early-stage startup equity package
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related field (PhD is a plus).
Other Requirements:
Must be available to relocate and work onsite at our brand-new London office
Responsibilities:
Conducting research into symbolic and categorical reasoning models, bridging abstract mathematics with machine learning.
Translating complex theoretical insights into scalable, efficient coding implementations.
Developing and optimizing machine learning pipelines for structured reasoning tasks, with a focus on interpretability and performance.
Building robust experimentation platforms for large-scale training and evaluation of models.
Collaborating with researchers to explore novel architectures and methodologies in logical reasoning and structured data.
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Applied AI Engineer
AI copilot for investors designed to accelerate research and strengthen conviction through deep research and intelligence.
Benefits:
Medical, dental, vision plans covered at 90%
401k Employer Contribution (nonelective contribution of 3% of your compensation)
Flexible time off - take time off when you need it!
Two approved remote work weeks per year
Catered lunches & snacks in-office is available in the San Mateo office (not available for fully remote employees at this time). We are actively working on expanding benefits to all locations, especially on wellness support & team connectivity :raised_hands:. In the meantime, fully remote employees receive an additional stipend for their at-home office setup. :house:
Education Requirements:
A degree in a deeply technical field (e.g. computer science, AI/ML, computational science) with a proven track record of applied AI research (e.g. significant journal or conference publication, lead on AI feature development, popular open source project)
Experience Requirements:
1+ years of software engineering experience in a production environment
Experience with Python, PyTorch, LLM prompting
Responsibilities:
Identify, prove out, and prototype impactful improvements to our core platform, leveraging novel AI solutions
Collaborate with adjacent stakeholders - empathize and learn from customer needs, clearly communicate your findings to leadership, and pair with engineering on production implementation
Stay curious on AI research at all levels of the stack
Shape culture and research best practices for the team, and the rest of the org
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Senior Software Engineer
AI copilot for investors designed to accelerate research and strengthen conviction through deep research and intelligence.
Benefits:
Medical, dental, vision plans covered at 90%
401k Employer Contribution (nonelective contribution of 3% of your compensation)
Flexible time off - take time off when you need it!
Two approved remote work weeks per year
Catered lunches & snacks in-office is available in the San Mateo office (not available for fully remote employees at this time). We are actively working on expanding benefits to all locations, especially on wellness support & team connectivity :raised_hands:. In the meantime, fully remote employees receive an additional stipend for their at-home office setup. :house:
Experience Requirements:
Have 4+ years of full-time software engineering experience in a production environment
Are experienced with web development and fluent with React, Typescript, and Python
Responsibilities:
Drive projects end-to-end, from scoping and design to implementation and rollout
Design and build delightful user-facing products from the ground up, including working hands-on with customers to demonstrate and communicate the value of Gradient technology, from demos to proofs of concept to full productionization
Collaborate closely with leadership, applied scientists, and other engineers to ensure alignment on decisions
Stay up-to-date with the AI landscape and technologies, ensuring we are using the best tool at hand for our platform
Help uplevel the engineering team and shape culture and technical best practices
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Staff Software Engineer
AI copilot for investors designed to accelerate research and strengthen conviction through deep research and intelligence.
Benefits:
Medical, dental, vision plans covered at 90%
401k Employer Contribution (nonelective contribution of 3% of your compensation)
Flexible time off - take time off when you need it!
Two approved remote work weeks per year
Catered lunches & snacks in-office is available in the San Mateo office (not available for fully remote employees at this time). We are actively working on expanding benefits to all locations, especially on wellness support & team connectivity :raised_hands:. In the meantime, fully remote employees receive an additional stipend for their at-home office setup. :house:
Experience Requirements:
Have 5+ years of full-time software engineering experience in a production environment
Are experienced with web development and fluent with React, Typescript, and Python
Responsibilities:
Drive projects end-to-end, from scoping and design to implementation and rollout
Help formulate technical roadmap by collaborating closely with leadership, applied scientists, and other engineers
Design and build delightful user-facing products from the ground up, including working hands-on with customers to demonstrate and communicate the value of Gradient technology, from demos to proofs of concept to full productionization
Stay up-to-date with the AI landscape and technologies, ensuring we are using the best tool at hand for our platform
Help uplevel the engineering team and shape culture and technical best practices
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Senior Product Manager
Ushur is a Customer Experience Automation platform powered by Gen AI. Automate workflows, deploy AI Agents, and deliver seamless, compliant, and personalized engagement.
Benefits:
Great Company Culture
Bring your whole self to work
Rest and Relaxation
Health Benefits
Keep learning
Experience Requirements:
Minimum of 5-8 years of Product Management experience
Experience building and shipping products that span the enterprise and consumer needs across a range of business scenarios
Experience with solving operational, customer service or process improvement challenges through software
Responsibilities:
Actively define the strategy and roadmap for the current product and future direction of our multiple product lines
Understand market landscape and review competition to bring business insight to the team
Partner with your peer engineering and design teams to deliver best-in-class products on time
Collaborate with marketing and sales on field enablement and go-to-market activities
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Technical Consultant
Ushur is a Customer Experience Automation platform powered by Gen AI. Automate workflows, deploy AI Agents, and deliver seamless, compliant, and personalized engagement.
Experience Requirements:
3-4 years of experience designing technical solutions for cloud applications.
Experience in software development. Python or Java. Skilled with REST APIs and Postman tools.
Diligent in Agile delivery.
Responsibilities:
Create and build complex Workflows using industry best practices
Write solution and technical documentation including ERDs, data flow diagrams, and business process flows
Utilize your outstanding technical consulting skills to implement software solutions
Lead and drive scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, UAT and production deployment
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Sales Development Representative (SDR)
Envato Elements provides unlimited access to 22+ million creative assets such as stock video, music, graphics and templates, plus AI tools, with a simple subscription and lifetime commercial license.
Benefits:
Flexible Working
Work from Anywhere
Conoce Mexico
Connection Budget
Learning Budget - Study leave and an annual budget for you to put towards your learning and development.
Experience Requirements:
1-2 years of experience in sales development, preferably in the SaaS industry
Responsibilities:
Respond to and qualify inbound leads.
Research accounts prior to the first contact to understand the prospect's needs.
Prospect leads via email, phone and other communication channels to schedule meetings in order to meet and exceed an established quota.
Manage and overcome objections from potential buyers.
Work closely with Enterprise AEs to identify the best approach, timing, handoff for prospects.
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Software Engineer
AI-powered code review tool for automated contextual feedback, supporting all languages with line-by-line reviews, one-click fixes, and real-time chat.
Benefits:
Competitive salary
equity
benefits
Professional development opportunities
Education Requirements:
Degree in Computer Science, Engineering, Artificial Intelligence, or related field
Experience Requirements:
3-5 years of experience in software engineering with excellent software engineering practices
Experience working with distributed systems, high-performance computing, and systems/infrastructure
Experience with code search, code graphs, tree-sitter, and static analysis tools, with a deep understanding of their application in real-world scenarios is preferred
Experience with cloud computing platforms (AWS, GCP, or Azure)
Responsibilities:
Design and implement intelligent features for code analysis and review
Integrate language models into software development workflows
Develop scalable, efficient algorithm-driven software systems
Participate in brainstorm , ideations and mentor team members
Stay current with advancements in Generative AI and software engineering
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Applied AI Engineer
AI-powered code review tool for automated contextual feedback, supporting all languages with line-by-line reviews, one-click fixes, and real-time chat.
Benefits:
Competitive salary
equity
comprehensive benefits package
Continuous learning and professional development opportunities
Education Requirements:
Advanced degree in Computer Science, Engineering , AI, or a related field
Experience Requirements:
3+ years of experience in applied machine learning, with a focus on generative AI for a minimum 1 year.
Demonstrated expertise in implementing RAG systems and Agentic flows, creating knowledge base, RHLHF tunings.
Strong skills in prompt engineering for large language models
Understanding of Gen AI Architecture and tools.
Knowledge of software development practices and common programming languages
Responsibilities:
Design and implement knowledge bases to improve code understanding and generation
Develop and optimize Agentic flows for automated code review and refactoring
Craft and refine prompts for various code-related tasks, ensuring high-quality AI-generated outputs
Integrate Gen AI capabilities into our existing software development workflows
Collaborate with cross-functional teams to align AI solutions with product goals with a need of supporting product engineering with customer facing features as needed as well.
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Developer Content Engineer
AI-powered code review tool for automated contextual feedback, supporting all languages with line-by-line reviews, one-click fixes, and real-time chat.
Benefits:
Competitive salary
equity
benefits
Professional development opportunities
Experience Requirements:
At least 5 years of experience as a Technical Writer, Developer Experience/Advocate Engineer, or related role
Strong software development experience, particularly in areas related to version control, code review, and developer workflows.
Proven track record of creating technical content for developer audiences
Experience with Git, GitHub, and modern development practices
Excellent written and verbal communication skills with ability to explain complex technical concepts clearly
Responsibilities:
Create in-depth technical content including blog posts, tutorials, and documentation that showcase CodeRabbit's features like AST Grep rules, PR summaries, and 1-Click Suggestions
Develop and maintain sample applications and demo repositories that illustrate best practices and real-world applications of CodeRabbit
Write technical comparisons and benchmarks that demonstrate the advantages of AI-powered code review
Create engaging social media content focused on developer education and community building
Produce video content including product demos, technical deep-dives, and feature walkthroughs
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