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Robotics Perception Engineer Jobs in Sunnyvale, CA

Teleo

Lead Perception Engineer

Palo Alto, CA · On-site

$120K - $158K/yr

Teleo, a robotics company, is transforming construction heavy equipment into autonomous robots for commercial and defense applications. They are seeking a Lead Perception Engineer to build perception ...

Teleo

Senior Perception Engineer

Palo Alto, CA · On-site

$123K - $168K/yr

Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment into autonomous robots. The Senior Perception Engineer will build perception algorithms and architecture to ...

Aeva, Inc.

Senior Perception Engineer

Mountain View, CA · On-site

$181K - $245K/yr

Aeva's mission is to bring the next wave of perception to a broad range of applications from ... Have a MS or PhD in a relevant program such as Robotics, Computer Science, Electrical Engineering ...

Aeva, Inc.

Senior Perception Engineer

Mountain View, CA · On-site

$181K - $245K/yr

Aeva's mission is to bring the next wave of perception to a broad range of applications from ... Have a MS or PhD in a relevant program such as Robotics, Computer Science, Electrical Engineering ...

Aeva, Inc.

Senior Perception Engineer

Mountain View, CA

$181K - $245K/yr

Aeva's mission is to bring the next wave of perception to a broad range of applications from ... Have a MS or PhD in a relevant program such as Robotics, Computer Science, Electrical Engineering ...

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All JobsRobotics Perception Engineer JobsRobotics Perception Engineer Jobs in Sunnyvale, CA

Robotics Perception Engineer information

See Sunnyvale, CA salary details

$34K

$123.9K

$198.3K

How much do robotics perception engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for robotics perception engineer in Sunnyvale, CA is $123,943.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $149,100.00 per year, depending on experience, location, and employer.

What is a robotics perception engineer?

Robotics Perception Engineers are professionals who specialize in enabling robots to interpret and understand their environment using sensors and data processing algorithms. They work on developing and implementing computer vision, sensor fusion, and machine learning techniques so that robots can perceive objects, people, and surroundings. Their work is crucial for applications such as autonomous vehicles, drones, industrial automation, and service robots. By improving a robot's ability to 'see' and make sense of the world, they help create safer and more effective robotic systems.

What is the difference between Robotics Perception Engineer vs Computer Vision Engineer?

AspectRobotics Perception EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or Electrical Engineering; experience with perception algorithmsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; strong programming skills in vision processing
Work EnvironmentRobotics labs, autonomous vehicle companies, industrial automationSoftware companies, tech startups, research labs focusing on image and video analysis
Industry UsageAutonomous vehicles, robotics, manufacturingHealthcare, security, consumer electronics, automotive

Robotics Perception Engineers focus on developing perception systems specifically for robots, integrating sensors and perception algorithms for navigation and interaction. Computer Vision Engineers primarily develop algorithms for interpreting visual data across various applications. While both roles require strong programming and understanding of perception, Robotics Perception Engineers specialize in sensor fusion and real-time processing within robotic systems, whereas Computer Vision Engineers work more broadly on image analysis and recognition tasks.

What are some common challenges faced by robotics perception engineers when integrating new sensors into autonomous systems?

Robotics Perception Engineers often encounter challenges such as sensor calibration, data synchronization, and managing varying data quality when integrating new sensors. Ensuring that sensor data is accurately aligned in time and space is crucial for reliable perception in autonomous systems. Additionally, engineers must address the complexities of fusing data from multiple modalities (like cameras, LiDAR, or radar) while optimizing processing efficiency. Close collaboration with hardware and software teams is essential to troubleshoot integration issues and achieve robust, real-time perception.

What are the key skills and qualifications needed to thrive as a robotics perception engineer?

To thrive as a Robotics Perception Engineer, you need strong expertise in computer vision, sensor fusion, machine learning, and proficiency in programming languages like C++ and Python, often supported by a degree in robotics, computer science, or a related field. Familiarity with tools and frameworks such as ROS (Robot Operating System), OpenCV, and deep learning libraries, as well as experience with sensors like LiDAR and cameras, is typically required. Excellent problem-solving abilities, teamwork, and adaptability help set standout professionals apart in this role. These competencies are crucial for enabling robots to accurately interpret and interact with their environment, leading to robust and reliable autonomous systems.
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Robotics Perception Engineer jobs near you
Infographic showing various Robotics Perception Engineer job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $123,943 per year, or $59.6 per hour.

Principal / Staff Robotics Perception Engineer

Simbe Robotics

San Francisco, CA • On-site

$190K - $240K/yr

Full-time

Posted 2 days ago

New

Job description

Simbe is building the AI powered operating system for physical retail. Our autonomous robots and multimodal computer vision platform turn complex, constantly changing stores into accurate, actionable intelligence for leading retailers around the world. Simbe combines robotics, computer vision, machine learning, data infrastructure, and customer focused product design to help retailers improve shelf availability, price and promo execution, inventory accuracy, and store team productivity.
Simbe is looking for a Principal or Staff Robotics Perception Engineer to serve as a critical bridge between our Computer Vision and Robot Software teams. This role owns the path from perception models and sensor data to real robotic behavior in production environments. You will help Tally understand dynamic retail stores, improve autonomy, and translate Simbe's computer vision capabilities into more reliable navigation, localization, calibration, and customer facing intelligence.
Why This Role Is High Impact
  • You will work on real robots operating in complex, high variance environments, not only offline benchmarks.
  • Your work will improve autonomy and customer value across one of the largest real world retail robotics deployments.
  • You will connect AI research, production computer vision, robot software, edge inference, and field performance.

Responsibilities
  • Own production perception pipelines. Lead the design, evaluation, integration, and optimization of perception systems used by Tally robots, including object detection, semantic and instance segmentation, depth estimation, tracking, sensor fusion, visual localization, and camera calibration.
  • Bridge CV and robot autonomy. Partner with Computer Vision, Robotics Software, Product, and Field teams to integrate perception models into the robot codebase and improve navigation, localization, scene understanding, and system reliability.
  • Improve real time performance. Profile and optimize neural networks on current and next generation robot hardware using Python, C++, ONNX, TensorRT, CUDA, and embedded GPU workflows.
  • Advance robot perception R&D. Explore emerging techniques in visual SLAM, visual odometry, depth estimation, open vocabulary detection and segmentation, multimodal perception, and simulation to identify practical improvements for Simbe's platform.
  • Develop system benchmarks. Define and maintain benchmarks that connect model quality to robot outcomes, including latency, compute, uptime, navigation success, localization robustness, false positives, false negatives, and customer facing accuracy.
  • Debug field failures end to end. Use logs, robot data, imagery, maps, telemetry, and model outputs to diagnose perception and autonomy issues observed in production stores.
  • Shape technical direction. Provide technical leadership, code reviews, architecture guidance, and mentorship for engineers working at the intersection of AI and robotics.

Required Qualifications
  • 7+ years of experience in robotic perception, computer vision, machine learning, autonomous systems, or related production robotics work.
  • Strong proficiency in Python and C++ in Linux based development environments.
  • Hands-on experience with ROS and/or ROS2, robot sensor pipelines, and deployed robotics systems.
  • Experience with PyTorch, TensorFlow, ONNX, TensorRT, CUDA, or similar model training and inference tools.
  • Demonstrated track record of adoption of LLM assisted and agentic programming techniques
  • Strong understanding of object detection, segmentation, depth estimation, sensor fusion, calibration, visual localization, or SLAM.
  • Experience deploying real time AI models on embedded systems, edge GPUs, robots, or other constrained hardware.
  • Strong debugging, benchmarking, and systems thinking skills, with the ability to connect low level technical issues to product and customer outcomes.
  • Ability to collaborate across Computer Vision, Robotics Software, Product, Customer Success, Field Operations, and executive stakeholders.

Bonus Qualifications
  • Experience with AMRs, autonomous vehicles, drones, warehouse robotics, industrial automation, or service robots.
  • Experience with stereo cameras, RGBD cameras, LiDAR, fisheye cameras, depth sensors, or multi camera calibration.
  • Knowledge of visual SLAM, visual odometry, map alignment, path planning, or localization in dynamic indoor environments.
  • Experience with NVIDIA Isaac Sim, Isaac ROS, Omniverse, Jetson/Orin, or GPU accelerated robotics pipelines.
  • Experience taking research prototypes into production robotics software.
  • Experience building tools that help teams evaluate, debug, and improve robot perception at fleet scale.

$190,000 - $240,000 a year
The base salary offered is based on market location and may vary depending on individualized factors for job candidates, including job related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include equity compensation, in addition to a full range of medical, financial, and other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Simbe Values: R. E. T. A. I. L.
  • Result Driven - We are customer centric and results driven. We strive to create immense value for our team, partners, customers, and investors.
  • Empathetic - We are sensitive and mindful. We support each other in challenging times, both professionally and personally.
  • Transparent - We value open communication internally, and with our partners and customers. We are receptive to feedback.
  • Agile - We are eager to learn and adapt quickly to changes and customer needs.
  • Innovative - We are bold and innovative, with an intense focus on product design, user experience, and customer value.
  • Leaders - We strive for excellence. We are accountable, the best at what we do, and leaders in our field.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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