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Robotics Perception Engineer Jobs (NOW HIRING)

Perception Engineer Department: Engineering Report to: VP of Software Engineering Who We Are ... Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related ...

Perception Engineer Department: Engineering Report to: VP of Software Engineering Who We Are ... Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related ...

Founded by former SpaceX engineers and backed by Bain Capital Ventures, TerraFirma is automating ... Integrate multi-spectral and TOF sensors into robotic systems with real-time processing constraints

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 ...

Lead Perception Engineer

Palo Alto, CA · On-site

$120K - $158K/yr

Job Summary : Teleo, a Havoc company, is a robotics company focused on transforming construction heavy equipment into autonomous robots. The Lead Perception Engineer will develop perception ...

Perception Engineer Department: Engineering Report to: VP of Software Engineering Who We Are ... Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related ...

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Robotics Perception Engineer information

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$29K

$105.6K

$169K

How much do robotics perception engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for robotics perception engineer in the United States is $105,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $127,000.00 per year, depending on experience, location, and employer.

What are Robotics Perception Engineers?

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, and why are they important?

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.
More about Robotics Perception Engineer jobs
What cities are hiring for Robotics Perception Engineer jobs? Cities with the most Robotics Perception Engineer job openings:
What states have the most Robotics Perception Engineer jobs? States with the most job openings for Robotics Perception Engineer jobs include:

Perception Engineer

HELLBENDER Inc.

Pittsburgh, PA • Hybrid

Other

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

Company Name: Hellbender Inc. 

Job Title: Perception Engineer

Department: Engineering 

Report to: VP of Software Engineering

Who We Are: 

Hellbender Inc. is a Pennsylvania Benefit Corporation who partners with innovators to mature their Artificial Intelligence enabled computing sensors and produce their solutions onshore at prototype to high volumes. 

Hellbender is intentionally forming an inclusive work environment and is committed to uplifting the historically marginalized identities including veterans, women, trans and non-white races in our community and industry.

Job Summary: 

As a Perception Engineer at Hellbender you will help lead the design and development of AI-enabled computer vision solutions for a wide variety of industrial and commercial applications. For this role you will need to possess a strong background in building advanced perception models, state estimation, object tracking, and sensor fusion for use in autonomous systems. United States veteran and diverse candidates are encouraged to apply at any experience level. 

Duties and Responsibilities: 

  • Develop and optimize computer vision and machine learning algorithms for object detection, classification, tracking, and scene understanding in varied and dynamic environments
  • Utilize data from a variety of sensors, including cameras, LiDAR, and radar, to create comprehensive perception systems
  • Implementation and evaluation of calibration procedures, particularly with stereo and sensor fusion scenarios
  • Conduct extensive testing and validation of perception systems; document and troubleshoot issues as they arise 
  • Collaborate with hardware engineers to calibrate sensors and integrate perception capabilities into broader autonomous systems
  • Collaborate with other software engineers to deploy perception models in both prototyping and production environments 
  • Support the team during the proposal phase, by aiding the specification and selection of appropriate sensors and compute needs for each application.

Qualifications, Skills, and Attributes:

Must haves:

  • Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field, with a focus on computer vision or machine learning
  • Proficient in programming languages and tools commonly used in perception systems development (Python, C++, OpenCV, etc.)  and experience with relevant AI and machine learning frameworks (TensorFlow, PyTorch, etc.) 
  • 3+ years of professional experience building perception systems that incorporate camera, LiDAR, and radar data 

Nice to have:

  • Experience designing and developing computer vision, machine learning, and sensor fusion for autonomous systems
  • Experience with procedural 3D modeling and photorealistic rendering
  • Experience deploying machine learning models on embedded platforms, such as NVIDIA Jetson or Hailo TPUs, is highly preferred 

Job Type: Full-time 

Benefits:  

  • 401(k)
  • 5% Safe Harbor Contribution to 401k by Hellbender
  • Dental insurance, 100% by Hellbender for employees and their families
  • Health insurance, 100% by Hellbender for employees and their families
  • Vision insurance, 100% by Hellbender for employees and their families
  • 7.5 weeks total Paid time off
  • Flexible spending account
  • Hellbender Inc. options through our Equity Incentive Plan
  • Profit Sharing (through 401k)
  • Hybrid work environment & flexible work schedule 

Work Location: UPARC Pittsburgh

Opportunity for advancement: 

Hellbender is a growing business and follows a policy that prioritizes internal promotions. As new positions are created new opportunities for advancement will be created as well.