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Autonomous Systems Engineer Jobs in Redmond, WA (NOW HIRING)

General Robotics

Systems Engineer

Redmond, WA · On-site

$155K - $205K/yr

We aspire to become the starting point for AI-powered autonomous systems across a diverse set of scenarios. Position Overview We are seeking a Systems Engineer to join our team in Redmond, WA. We ...

Overland AI

Systems Engineer

Seattle, WA · On-site

$140K - $190K/yr

Our OverDrive autonomy stack enables ground vehicles to navigate and operate off-road in any ... Role Summary Overland AI is hiring a Systems Engineer to support engineering execution and grow ...

1 point system

Systems Engineer III

Bellevue, WA · On-site

An autonomous self-starter personality with a culture of collaboration. * Detail-oriented with ... Engineering, Systems Engineering, or other technical or science disciplines. * 5 - 8+ years of ...

Apex Systems

Client Systems Engineer

Seattle, WA · On-site

Client Systems Engineer JOB CODE: TBD FLSA STATUS: Non-Exempt DEPARTMENT: Information Systems ... Ability to work autonomously to carry out specified goals. Great teamwork qualities, organizational ...

Blue Origin

Mission Systems Engineer

Seattle, WA

You will be expected to operate with a high degree of autonomy and provide technical leadership to ... Provide systems engineering support to a multidisciplinary team to ensure a cohesive and robust ...

RADAR

Systems Engineer

Seattle, WA

The System Engineer will own cross-functional features to ensure that performance and quality ... You are comfortable operating autonomously in ambiguity * You have experience working across ...

Leidos

Firmware Systems Manager

Lynnwood, WA · On-site

$131K - $237K/yr

Master's degree in a relevant engineering discipline. * Experience developing software for autonomous systems, robotics, or maritime platforms. * Familiarity with safety-critical or high-reliability ...

Leidos

Firmware Systems Manager

Lynnwood, WA

$131K - $237K/yr

... autonomous maritime systems to life. In this role, you will guide engineers working at the boundary between silicon, sensors, and mission software, delivering reliable, deterministic, and resilient ...

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All JobsAutonomous Systems Engineer JobsAutonomous Systems Engineer Jobs in Redmond, WA

Autonomous Systems Engineer information

See Redmond, WA salary details

$59.9K

$142.5K

$187K

How much do autonomous systems engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for autonomous systems engineer in Redmond, WA is $142,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,800.00 and $175,800.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior autonomous systems engineers, especially those with advanced expertise in robotics, machine learning, and control systems, can earn $300,000 or more annually. High compensation is often associated with experience, specialized skills, leadership roles, and working in industries like aerospace, defense, or autonomous vehicle development.

What does an Autonomous Systems Engineer do?

An Autonomous Systems Engineer designs, develops, and optimizes self-governing systems that operate with minimal human intervention. This includes robotics, self-driving vehicles, drones, and AI-driven automation. They work with sensors, machine learning, control systems, and software to ensure reliable decision-making and adaptability in dynamic environments. Their role often involves testing, simulation, and integration of hardware and software components to improve system efficiency and safety.

How much do autonomous systems engineers make?

Autonomous systems engineers typically earn a median annual salary between $90,000 and $130,000, depending on experience, education, and location. Senior engineers with specialized skills in robotics, machine learning, and sensor integration can earn higher salaries, often exceeding $150,000 annually.

What are the key skills and qualifications needed to thrive in the Autonomous Systems Engineer position, and why are they important?

To thrive as an Autonomous Systems Engineer, you need strong expertise in robotics, control systems, sensor integration, and proficiency in languages such as Python or C++, often supported by a relevant engineering degree. Familiarity with simulation tools like ROS (Robot Operating System), MATLAB/Simulink, and experience deploying algorithms on embedded hardware are typically required. Effective problem-solving, strong teamwork, and clear communication are standout soft skills in this field. These competencies are crucial for designing reliable autonomous solutions, troubleshooting complex issues, and collaborating across multidisciplinary teams for successful system deployment.

What are some common challenges faced by Autonomous Systems Engineers and how are they addressed?

Autonomous Systems Engineers often encounter challenges such as integrating diverse hardware and software components, achieving robust sensor fusion, and ensuring system reliability in unpredictable environments. Addressing these challenges typically involves rigorous simulation testing, iterative algorithm development, and close collaboration with cross-functional teams in software, hardware, and systems engineering. Engineers must also stay updated with advancements in machine learning and robotics to continually refine and enhance system capabilities. Employers support these efforts through ongoing training, collaborative problem-solving sessions, and investment in advanced prototyping resources.

What engineers make $500,000 a year?

Highly experienced autonomous systems engineers working in specialized fields such as aerospace, defense, or advanced robotics can earn salaries approaching or exceeding $500,000 annually, especially with seniority, advanced skills in AI and machine learning, and leadership roles. Compensation often includes bonuses, stock options, or other incentives in addition to base salary.

What do autonomous systems engineers do?

Autonomous systems engineers design, develop, and test systems that operate independently, such as self-driving vehicles or robotic automation. They work with sensors, algorithms, and control systems, often using programming languages like C++ or Python, and may require knowledge of machine learning, robotics, and embedded systems.
What are the most commonly searched types of Autonomous Systems Engineer jobs in Redmond, WA? The most popular types of Autonomous Systems Engineer jobs in Redmond, WA are:
What job categories do people searching Autonomous Systems Engineer jobs in Redmond, WA look for? The top searched job categories for Autonomous Systems Engineer jobs in Redmond, WA are:
Autonomous Systems Engineer jobs near you
Infographic showing various Autonomous Systems Engineer job openings in Redmond, WA as of July 2026, with employment types broken down into 2% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $142,474 per year, or $68.5 per hour.

Systems Engineer

General Robotics

Redmond, WA • On-site

$155K - $205K/yr

Full-time

Medical, Retirement

Re-posted 23 days ago

Job description

General Robotics is an AI research and deployment company building a platform for general robot intelligence. Our mission is to enable rapid, robust, and safe deployment of general intelligence for autonomous systems and robotics. We aspire to become the starting point for AI-powered autonomous systems across a diverse set of scenarios.
Position Overview
We are seeking a Systems Engineer to join our team in Redmond, WA. We build and optimize the infrastructure that powers generalized robotics foundation models - spanning edge devices to cloud GPU clusters - with a focus on low latency, high throughput, and efficient resource utilization across form factors such as aerial, ground, manipulation, and others.
We are looking for strong candidates who have a background in systems engineering and AI/ML infrastructure, with experience in areas like systems programming; distributed systems architecture; GPU-accelerated computing; containerized deployments; and ML training and inference optimization. By applying to this role, you will be considered for multiple teams, such as platform infrastructure, ML systems, and edge deployment.
Systems Engineer Responsibilities
  • Design, build, and optimize systems infrastructure spanning edge devices to cloud GPU clusters for robotics workloads.
  • Develop and maintain low-latency, high-throughput pipelines for ML model training and inference.
  • Architect and manage distributed systems for efficient resource utilization across heterogeneous compute environments.
  • Optimize GPU/CUDA workloads and accelerate ML frameworks (PyTorch, JAX, TensorFlow) for robotics applications.
  • Build and maintain containerized deployment pipelines using Kubernetes and Docker.
  • Collaborate with research teams to translate model requirements into scalable, production-grade systems.
  • Design monitoring, profiling, and benchmarking tools to identify and resolve performance bottlenecks.
  • Contribute to infrastructure tooling and open-sourcing efforts.

Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, Robotics, relevant technical field, or equivalent practical experience. Master's degree preferred.
  • 1+ years of experience in systems engineering, software engineering, robotics, or AI/ML systems.
  • Strong systems programming skills in one or more of: C++, Rust, Go, Python.
  • Solid understanding of operating systems, networking, and distributed systems fundamentals.
  • Experience with ML frameworks (PyTorch, JAX, TensorFlow) and cloud infrastructure (Kubernetes, Docker).
  • Experience with GPU programming and CUDA optimization for ML workloads.
  • Experience designing and scaling distributed training infrastructure for large foundation models.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code tooling.
  • Familiarity with real-time systems, embedded platforms, or edge deployment for robotics.
  • Experience with high-performance networking, storage systems, or scheduler design (e.g., Slurm, Ray).
  • Good understanding of ML model architectures and the ability to factor systems constraints into research decisions.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Base Salary Range
The anticipated base salary for this position is $155,000 - $205,000. Your actual pay will be based on factors such as skills, experience, and location. In addition to base salary, this role is eligible for benefits including medical, 401K and other health benefits.
Work Authorization
This role is open to candidates currently based in and authorized to work in the US.
Equal Opportunity Employer
General Robotics is an equal opportunity employer. We do not discriminate on the
basis of any status protected by applicable law.
Accommodations
If you need a reasonable accommodation during the application or interview
process, please contact: HR@GeneralRobotics.company

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