Job Title: Senior Robotics / Autonomy Engineer AI Sensor & Edge Systems
Duration: 6 Months (Contract)
Location: San Francisco CA Onsite required (No remote option)
In-Person Technical Interview (San Francisco)
Role Overview
We are building next-generation sensor and edge-compute systems that enable heavy machinery to see understand and learn from the real world. This role is for a high-velocity implementer not a researcher.
You will design build deploy and iterate on real-world AI systems mounted on large machines operating in harsh environments. If you thrive under tight timelines imperfect data brutal bandwidth constraints and hands-on hardware integration this role is for you.
This initiative is part of a broader vision to collect large-scale machine data for reinforcement learning imitation learning and foundation model development similar to how Tesla approaches autonomy.
Key Responsibilities
- Design and deploy modular sensor stacks (LiDAR cameras CAN bus edge compute) across multiple machine types
- Build low-latency AI pipelines under constrained bandwidth and compute environments
- Integrate edge AI systems with heavy machinery and autonomous platforms
- Enable efficient data capture filtering and offloading via 5G / Wi-Fi
- Identify critical data signals required for model training and continuously refine data pipelines
- Rapidly iterate on AI workflows to support reinforcement learning and imitation learning
- Work onsite to mount test debug and harden systems in real-world conditions
- Deliver large amounts of functional output under aggressive timelines
Required Technical Skills
- Strong hands-on experience in AI development for Robotics / Autonomy
- Proficient in C and/or Python
- Experience building sensor stacks including:
- LiDAR
- Cameras
- CAN BUS
- Edge compute systems
Prior work with:
- Autonomous vehicles
- Robotics platforms
- UAV sensing systems
- DIY robots that operate in real environments
- Comfortable working with imperfect data hardware constraints and field deployments
Preferred Skills
- Experience with transformer-based models and AI agents
- Familiarity using multiple AI agents simultaneously
- Exposure to reinforcement learning imitation learning or world models
- Background in edge AI optimization and bandwidth-constrained systems
- Previous experience at Uber Tesla or similar autonomy-driven companies
Soft Skills & Mindset
- Self-starter / go-getter mentality
- Extremely autonomous and execution-focused
- Thrives in fast-paced ambiguous environments
- Comfortable cutting corners when needed to deliver results
- Strong problem-solving instincts with a make it work attitude
- Energized by shipping in weeks not publishing in months
Why This Role
- Direct impact on real machines in the field
- Opportunity to shape large-scale AI data collection for foundation models
- Work alongside senior architects tackling complex autonomy challenges
- High ownership high trust and rapid execution
- Not research-oriented - this is about building and deploying
Pi-square technologies is a Michigan (USA) Headquartered Automotive Embedded Engineering Services company Synergy Partner for major OEMs and Tier 1s and their implementation partners in Automotive Embedded Product Development Projects Requirements Analysis Software Design Software Implementation Efficient Build Release Process and turnkey software V & V Services. We have more than 20 years of industry expertise with specialization in the latest cutting-edge automotive technologies such as Infotainment connected vehicles Cyber security OTA and Advanced Safety/ Body electronics.
Job Title: Senior Robotics / Autonomy Engineer AI Sensor & Edge Systems Duration: 6 Months (Contract) Location: San Francisco CA Onsite required (No remote option) In-Person Technical Interview (San Francisco) Role Overview We are building next-generation sensor and edge-compute systems that ...
Job Title: Senior Robotics / Autonomy Engineer AI Sensor & Edge Systems
Duration: 6 Months (Contract)
Location: San Francisco CA Onsite required (No remote option)
In-Person Technical Interview (San Francisco)
Role Overview
We are building next-generation sensor and edge-compute systems that enable heavy machinery to see understand and learn from the real world. This role is for a high-velocity implementer not a researcher.
You will design build deploy and iterate on real-world AI systems mounted on large machines operating in harsh environments. If you thrive under tight timelines imperfect data brutal bandwidth constraints and hands-on hardware integration this role is for you.
This initiative is part of a broader vision to collect large-scale machine data for reinforcement learning imitation learning and foundation model development similar to how Tesla approaches autonomy.
Key Responsibilities
- Design and deploy modular sensor stacks (LiDAR cameras CAN bus edge compute) across multiple machine types
- Build low-latency AI pipelines under constrained bandwidth and compute environments
- Integrate edge AI systems with heavy machinery and autonomous platforms
- Enable efficient data capture filtering and offloading via 5G / Wi-Fi
- Identify critical data signals required for model training and continuously refine data pipelines
- Rapidly iterate on AI workflows to support reinforcement learning and imitation learning
- Work onsite to mount test debug and harden systems in real-world conditions
- Deliver large amounts of functional output under aggressive timelines
Required Technical Skills
- Strong hands-on experience in AI development for Robotics / Autonomy
- Proficient in C and/or Python
- Experience building sensor stacks including:
- LiDAR
- Cameras
- CAN BUS
- Edge compute systems
Prior work with:
- Autonomous vehicles
- Robotics platforms
- UAV sensing systems
- DIY robots that operate in real environments
- Comfortable working with imperfect data hardware constraints and field deployments
Preferred Skills
- Experience with transformer-based models and AI agents
- Familiarity using multiple AI agents simultaneously
- Exposure to reinforcement learning imitation learning or world models
- Background in edge AI optimization and bandwidth-constrained systems
- Previous experience at Uber Tesla or similar autonomy-driven companies
Soft Skills & Mindset
- Self-starter / go-getter mentality
- Extremely autonomous and execution-focused
- Thrives in fast-paced ambiguous environments
- Comfortable cutting corners when needed to deliver results
- Strong problem-solving instincts with a make it work attitude
- Energized by shipping in weeks not publishing in months
Why This Role
- Direct impact on real machines in the field
- Opportunity to shape large-scale AI data collection for foundation models
- Work alongside senior architects tackling complex autonomy challenges
- High ownership high trust and rapid execution
- Not research-oriented - this is about building and deploying
Pi-square technologies is a Michigan (USA) Headquartered Automotive Embedded Engineering Services company Synergy Partner for major OEMs and Tier 1s and their implementation partners in Automotive Embedded Product Development Projects Requirements Analysis Software Design Software Implementation Efficient Build Release Process and turnkey software V & V Services. We have more than 20 years of industry expertise with specialization in the latest cutting-edge automotive technologies such as Infotainment connected vehicles Cyber security OTA and Advanced Safety/ Body electronics.
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