Develops scalable software for production automation, including motion planning, control, and perception pipelines with hardware integration. Requires strong Python skills, systems design expertise, and collaboration with robotics/hardware teams.
Leads development and scaling of cloud services and APIs for ride-hailing in robotaxi service, owning payments, dispatch, and fleet management. Requires 8+ years cloud experience, backend microservices, Kotlin/Java, REST APIs, SQL, Kubernetes.
Leads strategy and execution for Cyngn Insight and Fleet Management platform, owning product vision, roadmap, and delivery for autonomous vehicle fleet operations, monitoring, and scaling. Requires 5+ years PM experience with strong technical aptitude in distributed systems and cloud products.
Technical Sourcer builds talent pipelines and sourcing strategies for engineering teams in autonomy software, hardware, and infrastructure. Requires 4+ years full-cycle sourcing experience and technical aptitude evaluation skills.
Lead complex technical programs in core software systems for autonomous mobility, collaborating across software, hardware, and product teams to deliver roadmaps, manage risks, and ensure execution.
Leads integration and validation testing for autonomous vehicle systems, developing automated test plans using HIL/SIL, analyzing logs, and ensuring milestone readiness. Requires 3+ years experience, bachelor's in STEM, and strong Python skills.
Build integrations and data pipelines to connect xdof's robotics training data with customer model training infrastructure. Collaborate with sales, product, and engineering teams to translate customer needs into production code. Requires Python fluency, full-stack skills, and robotics passion.
Develop datasets and metrics to verify and validate autonomous driving perception systems. Analyze performance data, define KPIs, and provide insights to engineering teams. Requires advanced degree in stats/CS and proficiency in Python, SQL, and statistical methods.
Develop ML models for generating realistic autonomous vehicle simulation scenarios, integrating LLMs/VLMs and agentic AI for safety validation. Requires 5+ years ML experience, MS/PhD, and proficiency in PyTorch, transformers, diffusion models.
Owns Cloud Platform & Infrastructure roadmap, delivering multi-cloud, multi-region, and government-compliant capabilities for global scaling. Productizes on-prem solutions, drives compliance certifications like FedRAMP/CJIS, and manages cross-functional delivery for federal and commercial customers. Requires 6+ years PM experience in cloud/platform products.
Lead the evolution of Foxglove's Data Platform into an intelligent engine for robotics data management, discovery, curation, and evaluation. Requires 5+ years PM experience with deep knowledge of data infrastructure and robotics/AV needs.
Develops ML models using imitation and reinforcement learning for agent behavior prediction and autonomous vehicle planning. Requires PhD +1 year or MSc +5 years experience, expertise in RL, transformers, and production ML pipelines.
Designs, builds, tests, and iterates mechanical systems for solar assembly robots, troubleshoots hardware issues, and integrates designs with other engineers. Requires CAD expertise (Onshape), fabrication knowledge, and onsite work in San Leandro with field travel.
Develops and executes sourcing strategies for mechanical drone components, manages global suppliers, drives negotiations, and owns supply chain processes and tools for precision manufacturing technologies.
Owns end-to-end user experience for robotics data research platform, building self-serve acquisition flows, visualizers, and tools. Requires 3+ years web app experience, fluency in TypeScript/React/Python, and collaboration with PMs/designers.
Owns definition, integration, verification, and failure analysis of autonomous drone systems. Drives requirements, architecture, testing, data analysis, and cross-functional issue resolution to ensure product reliability for infrastructure, public safety, and defense applications. Requires 3+ years in electro-mechanical systems.
Designs, trains, and deploys deep learning models for drone autonomy, focusing on computer vision tasks like optical flow, depth estimation, detection, and path planning using real-world and synthetic data. Requires MS/PhD, hands-on DL experience, and PyTorch/Python/C++ proficiency.
Builds and scales deep learning infrastructure for autonomous drone computer vision workloads, optimizing inference for high throughput/low latency across hardware, and implements MLOps pipelines for model deployment and monitoring. Requires hands-on MLOps, DL/CV expertise, and ML pipeline experience.
Develops real-time deep learning models for drone autonomy, focusing on detection, tracking, segmentation, and optical flow using visual data. Requires hands-on experience with deep neural networks, computer vision, Python/C++, and model optimization for embedded hardware.
Develops and optimizes deep learning inference infrastructure for real-time computer vision workloads on drones, focusing on high-throughput, low-latency performance across hardware platforms. Builds MLOps workflows, GPU kernels, and SDKs; requires strong DL, CV, and ML pipeline expertise.
Lead a team of engineers in verification and validation of autonomous vehicle safety performance using simulation, data analysis, and testing. Requires 7+ years in vehicle/system validation, BS in relevant field, and leadership experience.
Develops end-to-end autonomous capabilities for drones, including robotics algorithms for motion planning, state estimation, and controls in challenging environments. Requires 1+ years production experience with C++ and Python in robotics/autonomous systems.
Builds scalable infrastructure platforms for data collection systems, including orchestration, dev platforms, and multi-tenant data lakes supporting exabyte-scale robotics data. Requires Python fluency and experience with distributed systems; AI/robotics background preferred.
Designs, builds, and deploys robot learning systems from simulation to real hardware, spanning manipulation, locomotion, and control. Requires Python, PyTorch/JAX expertise, and full-stack robotics experience including classical and learning-based methods.
Leads design, development, and deployment of advanced robotic systems for manufacturing automation, owning mechatronic subsystems across mechanical, electrical, and controls domains. Requires 12+ years in robotics/mechatronics with hands-on expertise in controls, embedded programming, and system integration.
Design, train, and integrate ML models for semantic map element detection in autonomous vehicles. Requires 5+ years experience, MS/PhD in CS, expertise in computer vision, deep learning, and PyTorch.
Operates and troubleshoots robotic factory software and hardware on solar construction sites across the US, assigns field tasks, and collaborates with engineering to improve efficiency. Requires engineering degree, programming/networking familiarity, mechanical troubleshooting skills, and physical resilience for full-time travel.
Develops software for industrial robotic systems, implementing motion planning, real-time control, and vision-based automation. Requires BS in CS/Robotics/Engineering, strong Python skills, and robotics fundamentals proficiency.
Integrates embedded software, avionics, sensors, and payloads for UAS platforms, ensuring robust command/control, telemetry, and autonomous operations. Requires 2+ years in aerospace/robotics systems integration with C/C++, Python, Linux, and communication protocols.
Leads ML initiatives to enhance validation processes using large-scale fleet and synthetic data for autonomous vehicle safety. Requires PhD or 5+ years ML experience, Python/PyTorch expertise, and AV domain knowledge.
Develop and implement algorithmic improvements for robot motion planning to enhance safe driving behaviors in complex urban environments. Requires Master's degree, 8+ years experience, C++ fluency, and expertise in planning techniques like A*, RRTs, PRMs.
Leads a team of ML engineers applying multi-modal large language models to solve autonomy problems, overseeing development, deployment, and post-training optimization like fine-tuning and RLHF. Requires 5+ years ML experience and 3+ years managing AI teams, with expertise in MLLMs.
Lead technical development of ML algorithms for next-generation ML Planner. Drive innovations in imitation learning, reinforcement learning, and model scaling while mentoring ML developers.
Plans, executes, and analyzes flight tests for aircraft performance, safety, and certification. Collaborates with engineering teams on test strategies, data analysis, and validation using UAV/aircraft experience and systems knowledge.
Leads cross-functional teams to define and integrate vehicle attributes like dynamics, NVH, thermal, safety, and ergonomics for next-generation autonomous vehicles. Requires 10+ years in vehicle development, engineering degree, and expertise in systems validation and program leadership.
Leads perception teams building 3D environment models from multi-modal sensors for autonomous vehicles, driving technical roadmap and execution. Requires 10+ years in computer vision/ML, 8+ years leadership of large teams, and MSc/PhD.
Leads the build-out of Quality Assurance function for aerospace manufacturing, implementing QMS processes across production lifecycle, ensuring compliance with FAA/DoD/ISO standards, and managing supplier quality. Requires 8+ years in aerospace/defense QA with hands-on scaling experience.
Leads large-scale logistics transformation programs for high-volume automotive production, driving standardization, technology integration, and cross-functional alignment in inbound, warehouse, and outbound operations. Requires 8+ years in logistics or manufacturing TPM, bachelor's degree, and expertise in program management tools.
Leads cross-functional engineering teams in Autonomy (Perception, Prediction, Planning) to translate corporate AI strategy into detailed roadmaps, manage risks, track KPIs for driving behavior, and deliver executive updates. Requires 6+ years in engineering program management with AI/ML and autonomous vehicle experience.
Part-time (20 hrs/week) 6-month contract for a current college student to build scalable applications and tools that automate safety metrics and evaluation processes for Zoox's autonomous robotaxis. Requires exposure to web/full-stack technologies and active enrollment in a CS/engineering degree program.
Leads end-to-end technical recruiting for engineering teams at a leading drone company, partnering with senior leaders on hiring strategy, building diverse talent pipelines for niche tech domains, and mentoring recruiters. Requires deep expertise in recruiting for cloud, mobile, infrastructure, embedded, or hardware engineering.
Leads design and implementation of scalable end-to-end business processes across Supply Chain, Manufacturing, Finance, and more, using SAP ERP, Salesforce, and 3DX. Requires 10+ years in business operations and process design, with strong enterprise systems expertise and cross-functional leadership.
Hands-on flight operator role planning and executing drone missions, conducting inspections, and troubleshooting to support UAV testing and operations.
Build and lead full-stack systems for real-time monitoring and automation of autonomous robotaxi fleets. Requires 8+ years experience, strong JavaScript/TypeScript/Node.js skills, and front-end framework expertise.
Develops ML models and workflows for generating simulation scenarios in autonomous vehicle testing, integrating LLMs/VLMs, collecting data for fine-tuning, and collaborating with teams to enhance safety validation. Requires MS/PhD, 2+ years ML experience, and Python/PyTorch proficiency.
Oversees customer operations, deployments, and compliance for autonomous vehicle pilots, POCs, and rollouts. Leads teams in program management, system integration, and strategic customer relations. Requires 5+ years operations experience in logistics/robotics/AV and BS degree.
Develops and maintains safety data pipelines, dashboards, and AI-assisted triage processes for AV fleet data to support compliance and internal learnings. Requires 4+ years with large-scale datasets, Python/SQL expertise, and dashboard tools like Looker/Databricks.
Owns end-to-end technical recruiting for Hardware Operations (Manufacturing Engineering, Supply Chain, Production), sourcing elite talent, advising hiring leaders, and driving exceptional candidate experiences in a growth-stage drone company.
Owns end-to-end technical recruiting for engineering and operations teams at a drone startup, sourcing elite talent in specialized areas like cloud, mobile, infrastructure, and hardware while advising hiring leaders and driving process improvements.
Develops and tunes calibration, localization, and mapping algorithms for autonomous vehicles using C++ and Python. Requires 6+ years in robotics/AV software, MS/PhD in robotics, and expertise in 3D LiDAR techniques and state estimation.
Develops scalable software for production automation, including motion planning, control, and perception pipelines with hardware integration. Requires strong Python skills, systems design expertise, and collaboration with robotics/hardware teams.
Leads development and scaling of cloud services and APIs for ride-hailing in robotaxi service, owning payments, dispatch, and fleet management. Requires 8+ years cloud experience, backend microservices, Kotlin/Java, REST APIs, SQL, Kubernetes.
Leads strategy and execution for Cyngn Insight and Fleet Management platform, owning product vision, roadmap, and delivery for autonomous vehicle fleet operations, monitoring, and scaling. Requires 5+ years PM experience with strong technical aptitude in distributed systems and cloud products.
Technical Sourcer builds talent pipelines and sourcing strategies for engineering teams in autonomy software, hardware, and infrastructure. Requires 4+ years full-cycle sourcing experience and technical aptitude evaluation skills.
Lead complex technical programs in core software systems for autonomous mobility, collaborating across software, hardware, and product teams to deliver roadmaps, manage risks, and ensure execution.
Leads integration and validation testing for autonomous vehicle systems, developing automated test plans using HIL/SIL, analyzing logs, and ensuring milestone readiness. Requires 3+ years experience, bachelor's in STEM, and strong Python skills.
Build integrations and data pipelines to connect xdof's robotics training data with customer model training infrastructure. Collaborate with sales, product, and engineering teams to translate customer needs into production code. Requires Python fluency, full-stack skills, and robotics passion.
Develop datasets and metrics to verify and validate autonomous driving perception systems. Analyze performance data, define KPIs, and provide insights to engineering teams. Requires advanced degree in stats/CS and proficiency in Python, SQL, and statistical methods.
Develop ML models for generating realistic autonomous vehicle simulation scenarios, integrating LLMs/VLMs and agentic AI for safety validation. Requires 5+ years ML experience, MS/PhD, and proficiency in PyTorch, transformers, diffusion models.
Owns Cloud Platform & Infrastructure roadmap, delivering multi-cloud, multi-region, and government-compliant capabilities for global scaling. Productizes on-prem solutions, drives compliance certifications like FedRAMP/CJIS, and manages cross-functional delivery for federal and commercial customers. Requires 6+ years PM experience in cloud/platform products.
Lead the evolution of Foxglove's Data Platform into an intelligent engine for robotics data management, discovery, curation, and evaluation. Requires 5+ years PM experience with deep knowledge of data infrastructure and robotics/AV needs.
Develops ML models using imitation and reinforcement learning for agent behavior prediction and autonomous vehicle planning. Requires PhD +1 year or MSc +5 years experience, expertise in RL, transformers, and production ML pipelines.
Designs, builds, tests, and iterates mechanical systems for solar assembly robots, troubleshoots hardware issues, and integrates designs with other engineers. Requires CAD expertise (Onshape), fabrication knowledge, and onsite work in San Leandro with field travel.
Develops and executes sourcing strategies for mechanical drone components, manages global suppliers, drives negotiations, and owns supply chain processes and tools for precision manufacturing technologies.
Owns end-to-end user experience for robotics data research platform, building self-serve acquisition flows, visualizers, and tools. Requires 3+ years web app experience, fluency in TypeScript/React/Python, and collaboration with PMs/designers.
Owns definition, integration, verification, and failure analysis of autonomous drone systems. Drives requirements, architecture, testing, data analysis, and cross-functional issue resolution to ensure product reliability for infrastructure, public safety, and defense applications. Requires 3+ years in electro-mechanical systems.
Designs, trains, and deploys deep learning models for drone autonomy, focusing on computer vision tasks like optical flow, depth estimation, detection, and path planning using real-world and synthetic data. Requires MS/PhD, hands-on DL experience, and PyTorch/Python/C++ proficiency.
Builds and scales deep learning infrastructure for autonomous drone computer vision workloads, optimizing inference for high throughput/low latency across hardware, and implements MLOps pipelines for model deployment and monitoring. Requires hands-on MLOps, DL/CV expertise, and ML pipeline experience.
Develops real-time deep learning models for drone autonomy, focusing on detection, tracking, segmentation, and optical flow using visual data. Requires hands-on experience with deep neural networks, computer vision, Python/C++, and model optimization for embedded hardware.
Develops and optimizes deep learning inference infrastructure for real-time computer vision workloads on drones, focusing on high-throughput, low-latency performance across hardware platforms. Builds MLOps workflows, GPU kernels, and SDKs; requires strong DL, CV, and ML pipeline expertise.
Lead a team of engineers in verification and validation of autonomous vehicle safety performance using simulation, data analysis, and testing. Requires 7+ years in vehicle/system validation, BS in relevant field, and leadership experience.
Develops end-to-end autonomous capabilities for drones, including robotics algorithms for motion planning, state estimation, and controls in challenging environments. Requires 1+ years production experience with C++ and Python in robotics/autonomous systems.
Builds scalable infrastructure platforms for data collection systems, including orchestration, dev platforms, and multi-tenant data lakes supporting exabyte-scale robotics data. Requires Python fluency and experience with distributed systems; AI/robotics background preferred.
Designs, builds, and deploys robot learning systems from simulation to real hardware, spanning manipulation, locomotion, and control. Requires Python, PyTorch/JAX expertise, and full-stack robotics experience including classical and learning-based methods.
Leads design, development, and deployment of advanced robotic systems for manufacturing automation, owning mechatronic subsystems across mechanical, electrical, and controls domains. Requires 12+ years in robotics/mechatronics with hands-on expertise in controls, embedded programming, and system integration.
Design, train, and integrate ML models for semantic map element detection in autonomous vehicles. Requires 5+ years experience, MS/PhD in CS, expertise in computer vision, deep learning, and PyTorch.
Operates and troubleshoots robotic factory software and hardware on solar construction sites across the US, assigns field tasks, and collaborates with engineering to improve efficiency. Requires engineering degree, programming/networking familiarity, mechanical troubleshooting skills, and physical resilience for full-time travel.
Develops software for industrial robotic systems, implementing motion planning, real-time control, and vision-based automation. Requires BS in CS/Robotics/Engineering, strong Python skills, and robotics fundamentals proficiency.
Integrates embedded software, avionics, sensors, and payloads for UAS platforms, ensuring robust command/control, telemetry, and autonomous operations. Requires 2+ years in aerospace/robotics systems integration with C/C++, Python, Linux, and communication protocols.
Leads ML initiatives to enhance validation processes using large-scale fleet and synthetic data for autonomous vehicle safety. Requires PhD or 5+ years ML experience, Python/PyTorch expertise, and AV domain knowledge.
Develop and implement algorithmic improvements for robot motion planning to enhance safe driving behaviors in complex urban environments. Requires Master's degree, 8+ years experience, C++ fluency, and expertise in planning techniques like A*, RRTs, PRMs.
Leads a team of ML engineers applying multi-modal large language models to solve autonomy problems, overseeing development, deployment, and post-training optimization like fine-tuning and RLHF. Requires 5+ years ML experience and 3+ years managing AI teams, with expertise in MLLMs.
Lead technical development of ML algorithms for next-generation ML Planner. Drive innovations in imitation learning, reinforcement learning, and model scaling while mentoring ML developers.
Plans, executes, and analyzes flight tests for aircraft performance, safety, and certification. Collaborates with engineering teams on test strategies, data analysis, and validation using UAV/aircraft experience and systems knowledge.
Leads cross-functional teams to define and integrate vehicle attributes like dynamics, NVH, thermal, safety, and ergonomics for next-generation autonomous vehicles. Requires 10+ years in vehicle development, engineering degree, and expertise in systems validation and program leadership.
Leads perception teams building 3D environment models from multi-modal sensors for autonomous vehicles, driving technical roadmap and execution. Requires 10+ years in computer vision/ML, 8+ years leadership of large teams, and MSc/PhD.
Leads the build-out of Quality Assurance function for aerospace manufacturing, implementing QMS processes across production lifecycle, ensuring compliance with FAA/DoD/ISO standards, and managing supplier quality. Requires 8+ years in aerospace/defense QA with hands-on scaling experience.
Leads large-scale logistics transformation programs for high-volume automotive production, driving standardization, technology integration, and cross-functional alignment in inbound, warehouse, and outbound operations. Requires 8+ years in logistics or manufacturing TPM, bachelor's degree, and expertise in program management tools.
Leads cross-functional engineering teams in Autonomy (Perception, Prediction, Planning) to translate corporate AI strategy into detailed roadmaps, manage risks, track KPIs for driving behavior, and deliver executive updates. Requires 6+ years in engineering program management with AI/ML and autonomous vehicle experience.
Part-time (20 hrs/week) 6-month contract for a current college student to build scalable applications and tools that automate safety metrics and evaluation processes for Zoox's autonomous robotaxis. Requires exposure to web/full-stack technologies and active enrollment in a CS/engineering degree program.
Leads end-to-end technical recruiting for engineering teams at a leading drone company, partnering with senior leaders on hiring strategy, building diverse talent pipelines for niche tech domains, and mentoring recruiters. Requires deep expertise in recruiting for cloud, mobile, infrastructure, embedded, or hardware engineering.
Leads design and implementation of scalable end-to-end business processes across Supply Chain, Manufacturing, Finance, and more, using SAP ERP, Salesforce, and 3DX. Requires 10+ years in business operations and process design, with strong enterprise systems expertise and cross-functional leadership.
Hands-on flight operator role planning and executing drone missions, conducting inspections, and troubleshooting to support UAV testing and operations.
Build and lead full-stack systems for real-time monitoring and automation of autonomous robotaxi fleets. Requires 8+ years experience, strong JavaScript/TypeScript/Node.js skills, and front-end framework expertise.
Develops ML models and workflows for generating simulation scenarios in autonomous vehicle testing, integrating LLMs/VLMs, collecting data for fine-tuning, and collaborating with teams to enhance safety validation. Requires MS/PhD, 2+ years ML experience, and Python/PyTorch proficiency.
Oversees customer operations, deployments, and compliance for autonomous vehicle pilots, POCs, and rollouts. Leads teams in program management, system integration, and strategic customer relations. Requires 5+ years operations experience in logistics/robotics/AV and BS degree.
Develops and maintains safety data pipelines, dashboards, and AI-assisted triage processes for AV fleet data to support compliance and internal learnings. Requires 4+ years with large-scale datasets, Python/SQL expertise, and dashboard tools like Looker/Databricks.
Owns end-to-end technical recruiting for Hardware Operations (Manufacturing Engineering, Supply Chain, Production), sourcing elite talent, advising hiring leaders, and driving exceptional candidate experiences in a growth-stage drone company.
Owns end-to-end technical recruiting for engineering and operations teams at a drone startup, sourcing elite talent in specialized areas like cloud, mobile, infrastructure, and hardware while advising hiring leaders and driving process improvements.
Develops and tunes calibration, localization, and mapping algorithms for autonomous vehicles using C++ and Python. Requires 6+ years in robotics/AV software, MS/PhD in robotics, and expertise in 3D LiDAR techniques and state estimation.