Senior Robotics / Autonomy Engineer – AI Sensor & Edge Systems

This is Vignesh from Cozen Tech, and I’m pleased to present an urgent opportunity for Robotics Project Planner/Coordinator in San Francisco, CA Why Apply Now? Due to an immediate hiring need, qualified candidates who apply early will be fast tracked through the hiring process. If your background aligns with the role, we strongly encourage you to submit your resume promptly. Job Title: Senior Robotics / Autonomy Engineer – AI Sensor & Edge Systems Location: San Francisco, CA (Onsite – No Remote Option) Duration: Longterm Contracct Openings: 3 Interview: In-Person Technical Interview (San Francisco) Role Overview: 1. We are seeking a Senior Robotics / Autonomy Engineer to design, build, deploy, and iterate on real-world AI sensor and edge-compute systems mounted on heavy machinery operating in harsh, real-world environments. 1. This is a hands-on implementation role, not a research-focused position. The ideal candidate is a high-velocity engineer who thrives in fast-paced environments with tight timelines, imperfect data, hardware constraints, and real-world deployment challenges. 1. This initiative supports a broader autonomy vision focused on large-scale machine data collection for reinforcement learning, imitation learning, and foundation model development—similar in execution mindset to Tesla’s autonomy and data-engine approach. Project Scope & Responsibilities: 1. Design and deploy modular sensor stacks across multiple machine platforms, including: 1. LiDAR 1. Cameras 1. CAN Bus 1. Edge compute systems 1. Build and optimize low-latency AI pipelines under constrained bandwidth and compute conditions 1. Integrate edge AI systems with heavy machinery and autonomous platforms 1. Enable efficient data capture, filtering, logging, and offloading via 5G and Wi-Fi 1. Identify and prioritize critical data signals required for AI model training 1. Continuously refine data pipelines to support: 1. Reinforcement learning 1. Imitation learning 1. Large-scale autonomy datasets 1. Rapidly iterate on AI workflows and system designs to meet aggressive delivery timelines 1. Work onsite to mount, test, debug, and harden systems in real-world field conditions 1. Deliver high volumes of functional output with a strong bias toward execution Required Technical Skills & Experience: 1. Core Technical Requirements: 1. Strong hands-on experience building AI systems for Robotics or Autonomy 1. Proficiency in C++ and/or Python for production systems Experience designing and integrating multi-sensor stacks, including: 1. LiDAR 1. Cameras 1. CAN Bus 1. Edge compute hardware 1. Relevant Background Experience Prior work Experience on: 1. Autonomous vehicles 1. Robotics platforms 1. UAV sensing systems 1. DIY or experimental robots operating in real-world environments Comfortable working with: 1. Imperfect or noisy data 1. Hardware limitations 1. Field deployments and system bring-up 1. Experience deploying AI systems on real machines, not simulations only Preferred / Nice-to-Have Skills: 1. Experience with transformer-based models and AI agents 1. Familiarity running multiple AI agents concurrently Exposure to: 1. Reinforcement learning 1. Imitation learning 1. World models 1. Background in edge AI optimization and bandwidth-constrained systems 1. Previous experience at companies such as: 1. Tesla 1. Uber ATG / Aurora 1. Cruise 1. Waymo (deployment teams) 1. Zoox, Nuro 1. Robotics startups 1. Defense, industrial, agriculture, mining, or construction autonomy companies 1. Hardware, Tools & Stack Indicators (Strong Resume Signals) NVIDIA Jetson Orin / Xavier: 1. ROS / ROS2 1. CAN Bus integration 1. LiDAR and camera-based perception systems 1. Multi-sensor fusion 1. Edge inference on real hardware 1. Fleet-scale data pipelines and telemetry systems Soft Skills & Execution Mindset: 1. Self-starter with a strong ownership mentality 1. Highly autonomous and execution-focused 1. Thrives in fast-paced, ambiguous environments 1. Comfortable making trade-offs to deliver results 1. Strong problem-solving instincts with a “make it work” attitude 1. Energized by shipping in weeks, not publishing in months Why This Role: 1. Direct impact on real machines operating in the field 1. Opportunity to shape large-scale autonomy data pipelines for foundation models 1. Work closely with senior architects solving complex autonomy challenges 1. High ownership, high trust, and rapid execution environment 1. Strong emphasis on building, deploying, and iterating not research Ideal Candidate Summary: 1. A senior, hands-on autonomy engineer who has built and deployed AI perception or sensor systems on real machines, understands edge constraints, and thrives in fast-moving, execution-driven environments.. Mandatory Key Skills (Must-Have to qualify): • Use these as hard filters for resumes and profiles: • Robotics Engineer / Autonomy Engineer • AI for Robotics / Autonomy • C++ • Python • LiDAR • Cameras • CAN Bus • Edge Compute / Edge AI • Sensor Integration • Low-latency pipelines • Real-world deployment • Field testing / Onsite testing • Hardware integration • Autonomous vehicles or robotics platforms • Preferred Keywords (Nice-to-Have / Value Add) • These strengthen a profile but are not deal-breakers: • Reinforcement learning • Imitation learning • World models • Transformer-based models • AI agents / multi-agent systems • NVIDIA Jetson (Orin / Xavier) • ROS / ROS2 • Sensor fusion • Fleet data / telemetry / logs • Bandwidth-constrained systems • Edge optimization • 5G / Wi-Fi data offloading • Tesla / Uber ATG / Aurora / Cruise / Waymo • Industrial, construction, mining, or agriculture autonomy • Key experience Strong resumes will Speak things like: • “Deployed perception systems on real vehicles/machines” • “Built edge AI pipelines on Jetson hardware” • “Onsite testing and debugging in field conditions” • “Handled imperfect data and hardware constraints” Skill Matrix – Senior Robotics / Autonomy Engineer – AI Sensor & Edge Systems: Skill Number of Years Required Present Candidate Experience (Years) Robotics / Autonomy Engineering 5+ Years AI Development for Robotics / Autonomy 4+ Years C++ Programming 3+ Years Python Programming 3+ Years Sensor Stack Integration (LiDAR, Cameras, CAN Bus) 3+ Years Edge Compute Systems (Jetson / Embedded AI) 3+ Years Low-Latency AI Pipelines 3+ Years Multi-Sensor Data Capture & Processing 3+ Years Edge AI Deployment on Real Hardware 3+ Years Onsite Field Testing & Debugging 2+ Years Best Regards Kodan Vignesh Manager Recruitments | Client Relationship Management / Strategist Phone: 629-205-9885 | e Mail: vignesh@cozentech.com 2615 Medical Center Parkway, Suite 1560, Murfreesboro, TN, 37129, USA www.cozentech.com