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Robotics Perception Engineer Jobs in Seattle, WA

Aquent

AI Engineer - Automation/Robotics 1

Redmond, WA · On-site

$60 - $65/hr

Integrate robotic control and perception stacks within various simulation frameworks. Must-Have Qualifications * Bachelor's degree in a technical field such as computer science, computer engineering ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

Deep Learning Engineer As a Deep Learning Engineer at Carbon Robotics, you will contribute to ... Experience in autonomous driving or ADAS is a plus - background in perception pipelines, sensor ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA

$140K - $220K/yr

Carbon Robotics is the leader in physical AI for agriculture, helping farmers become more ... Experience in autonomous driving or ADAS is a plus -- background in perception pipelines, sensor ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

$140K - $220K/yr

Carbon Robotics is the leader in physical AI for agriculture, helping farmers become more ... Experience in autonomous driving or ADAS is a plus - background in perception pipelines, sensor ...

Axon

Senior Machine Learning Scientist

Seattle, WA

$104K - $142K/yr

... Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals. * Strong proficiency in programming languages such as Python, C/C++, experience with deep learning ...

Nvidia

Senior Robotics Research Scientist

Seattle, WA

$112K - $142K/yr

... perception, planning, control, reinforcement learning, imitation learning, and simulation. This ... Furthermore, SRL collaborates closely with other research and engineering teams to advance and ...

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All JobsRobotics Perception Engineer JobsRobotics Perception Engineer Jobs in Seattle, WA

Robotics Perception Engineer information

See Seattle, WA salary details

$33K

$120.2K

$192.3K

How much do robotics perception engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for robotics perception engineer in Seattle, WA is $120,181.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $144,500.00 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 Seattle, WA as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $120,181 per year, or $57.8 per hour.

Mechanical Design Engineer: Robotics Simulation and Modeling

Meta

Redmond, WA

$173K/yr

Full-time

Posted 7 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 242 rated software companies

Job description

At Meta, we're building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences.To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world.Meta Robotics Studio is seeking a Mechanical Engineer with deep experience in finite element analysis (FEA) and kinematics/dynamics modeling to help design and optimize next-generation humanoid robots. In this role, you will use simulation-driven engineering to influence architecture decisions early, validate designs through detailed analysis, and partner closely with design, controls, hardware, and reliability teams to deliver robust, lightweight, high-performing robotic systems.You will work across structural performance, weight optimization, drop/shock survivability, and modal/vibration behavior, and also build/own kinematic and energy models to study optimal joint motor placement and power usage across real robot tasks such as walking, stair ascent/descent, and manipulation tasks. This team is dedicated to building hardware that enables learning through data collection and system testing.
Mechanical Design Engineer: Robotics Simulation and Modeling Responsibilities:
  • Own end-to-end FEA for major humanoid subsystems
  • Perform and communicate results for: structural analysis (static and nonlinear as needed
  • contacts, preloads, bolted joints, interference fits), weight optimization (topology/shape/size optimization and trade studies with manufacturability constraints), drop/shock and impact survivability analysis (energy methods, explicit/implicit where appropriate, correlation plans), and modal analysis and vibration characterization (mode-shape interpretation, frequency targets, stiffness tuning, resonance avoidance)
  • Define boundary conditions, load cases, acceptance criteria, and correlation plans
  • ensure assumptions are defensible and traceable
  • Drive design changes based on analysis: identify high-stress areas, fatigue risk, stiffness deficiencies, and robustness gaps
  • Partner with test engineering to correlate simulations to bench/vehicle/robot tests
  • iterate models based on measured data
  • Develop and use kinematic and dynamic models to evaluate joint architectures and actuation trade-offs
  • Quantify task-level power/energy usage and thermal implications across locomotion and manipulation tasks
  • Evaluate workspace, singularities, joint limits, torque requirements, reflected inertia, and transmission efficiency impacts
  • Produce actionable guidance to hardware and controls teams on architecture choices (DoF allocation, link lengths, actuator placement, gearing tradeoffs)
  • Collaborate with mechanical design, controls, perception, embedded, manufacturing, and reliability teams from concept through EVT/DVT/PVT-style phases
  • Create clear technical documentation: assumptions, model setup, results, conclusions, design recommendations, and test correlation status
  • Establish best practices for simulation workflows (review checklists, model versioning, validation gates, and data management)

Minimum Qualifications:
  • BS in Mechanical Engineering or related field
  • 7+ years of relevant experience in robotics, aerospace, automotive, or high-performance electromechanical products
  • Demonstrated expertise in FEA including static structural analysis and interpretation of stress/strain, stiffness, and failure modes, and geometry optimization for weight reduction
  • Experience with at least one major FEA toolset (e.g., Abaqus, ANSYS, Comsol, Nastran, or similar) and pre/post processing workflows
  • Experience with drop/shock simulation and test correlation (instrumented drops, shock response spectra, impact modeling)
  • Experience performing modal analysis and translating results into concrete design improvements
  • Hands-on experience building kinematic models (e.g., using MATLAB, Python, ROS/Pinocchio, Drake, or similar)
  • Demonstrated knowledge of mechanics of materials, dynamics, and machine design principles as applied to product development
  • Ability to communicate analysis results clearly to mixed audiences and drive design decisions

Preferred Qualifications:
  • Familiarity with humanoid locomotion/manipulation requirements, including stiffness targets for control bandwidth and resonance constraints
  • Proven track record of taking analysis from concept to validated hardware
  • Working knowledge of CNC machining processes — understanding of fixturing, tool access, setup minimization, and achievable tolerances
  • Experience with PLM/PDM systems (Teamcenter, Solidworks PDM, Windchill, or similar)
  • Experience modeling actuator/transmission efficiency, motor thermal limits, and energy consumption for robotic tasks
  • Direct experience with robotic systems — BLDC motors, actuators, gearboxes, linkage mechanisms
  • Background in high-mix/low-volume transitioning to mid-volume production environments
  • CAD proficiency (SolidWorks, NX, or CREO, Rhino)
  • Experience managing time-sensitive projects through to completion while balancing evolving priorities and a broad range of stakeholders
  • Experience with optimization (topology/shape/parametric) and designing for manufacturability (CNC, die cast, additive, composites)
  • Familiarity with injection molding, thermoforming, or composite manufacturing as it relates to complex-geometry parts
  • Experience with fatigue, joint modeling (bolts, bearings, welds/adhesives), and contact nonlinearity
  • MS in Mechanical Engineering, Product Design Engineering, or related discipline

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$173,000/year to $245,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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