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Robotics Software Engineer Jobs in Portland, OR (NOW HIRING)

Senior Software Engineer Full-Time Position | Portland, Oregon About Us Rapta is revolutionizing ... vision and robotics technology that keeps America's most critical production lines running ...

Software QA Intern

Portland, OR

$20.50 - $26.75/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of computer software and engineering. As a Software AQ Intern, you will play a crucial role in ensuring ...

Software QA Intern

Vancouver, WA

$20.25 - $26.75/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of computer software and engineering. As a Software AQ Intern, you will play a crucial role in ensuring ...

Software QA Intern

Gresham, OR

$20.25 - $26.75/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of computer software and engineering. As a Software AQ Intern, you will play a crucial role in ensuring ...

Senior Software Engineer Full-Time Position | Portland, Oregon About Us Rapta is revolutionizing ... vision and robotics technology that keeps America's most critical production lines running ...

Principal Software Engineer

Hillsboro, OR · On-site

$147K - $197K/yr

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... Mentor architects and engineering teams to grow them into future leaders. * Make key technical ...

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... NVIDIA is seeking a talented Software Engineer to join our small team building custom, high-impact ...

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Robotics Software Engineer information

See Portland, OR salary details

$61.3K

$127.2K

$182.9K

How much do robotics software engineer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for robotics software engineer in Portland, OR is $127,248.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $155,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Robotics Software Engineer, and why are they important?

To thrive as a Robotics Software Engineer, you need a strong background in computer science, robotics, and mathematics, often supported by a relevant degree and experience in algorithm development. Proficiency with programming languages like C++, Python, and ROS (Robot Operating System), as well as familiarity with simulation tools and version control systems, is essential. Problem-solving ability, teamwork, and effective communication are crucial soft skills for collaborating on complex projects and adapting to evolving technologies. These skills and qualities are vital for designing, implementing, and maintaining reliable robotic systems that perform effectively in real-world environments.

Can a software engineer work in robotics?

A robotics software engineer develops and maintains software for robotic systems, often using programming languages like C++ and Python, and working with hardware interfaces and control algorithms. This role typically requires knowledge of robotics frameworks such as ROS and experience with embedded systems or sensors. Software engineers with these skills can work in robotics companies, research labs, or automation environments.

What Does a Robotics Software Engineer Do?

The job duties of a robotics software engineer are working to develop software for robot control and automation. In this job, your responsibilities include working on an embedded system that controls automated equipment. You may build new software or test, improve, or debug current software. Most robotics software engineers work for the manufacturing industry and focus on robots that companies use in product production. You may work in other fields that use robotics as well. This job may include responsibilities such as developing a user interface that non-technical employees can use to set up the equipment.

What is the difference between Robotics Software Engineer vs Mechatronics Engineer?

AspectRobotics Software EngineerMechatronics Engineer
Required CredentialsBachelor's in Robotics, Computer Science, or related field; programming skillsBachelor's in Mechatronics, Mechanical, or Electrical Engineering; multidisciplinary knowledge
Work EnvironmentSoftware development teams, robotics labs, research facilitiesDesign, integrate mechanical and electronic systems, often in manufacturing or automation
Employer & Industry UsageTech companies, robotics firms, research institutionsManufacturing, automation, aerospace, automotive industries

While both roles involve robotics, a Robotics Software Engineer primarily focuses on developing software for robotic systems, whereas a Mechatronics Engineer designs and integrates mechanical, electronic, and software components. The roles often overlap but differ in their core focus areas and skill sets.

Is robotics a dead field?

Robotics is an active and growing field with ongoing advancements in automation, AI integration, and sensor technologies. Robotics Software Engineers are in demand across industries such as manufacturing, healthcare, and logistics, requiring skills in programming languages like C++ and Python, as well as familiarity with robotic frameworks like ROS.

What engineers make $300,000 a year?

Senior robotics software engineers with extensive experience, advanced skills in programming languages like C++ and Python, and expertise in areas such as machine learning or autonomous systems can earn $300,000 or more annually. High compensation is often associated with leadership roles, specialized knowledge, and working in industries like aerospace, defense, or high-tech manufacturing.

What are some common challenges faced by Robotics Software Engineers when integrating software with hardware systems?

Robotics Software Engineers often encounter challenges related to ensuring seamless communication between software algorithms and physical hardware components. These can include dealing with sensor noise, managing real-time constraints, debugging hardware-software mismatches, and ensuring reliable performance in unpredictable environments. Close collaboration with electrical and mechanical engineers is essential to quickly resolve integration issues and to test software on physical robots. Adapting to rapid hardware changes and troubleshooting in live environments require strong problem-solving skills and effective cross-disciplinary teamwork.

What does a Robotics Software Engineer do?

A Robotics Software Engineer designs, develops, and maintains the software that controls and powers robots. This includes writing code for robot perception, control algorithms, and integration with hardware components. They work closely with hardware engineers to ensure seamless interaction between the robot's physical and digital systems. Their work often involves programming in languages such as C++, Python, or ROS (Robot Operating System) and testing robots in real-world or simulated environments.

What engineers make $500,000?

Senior robotics software engineers with extensive experience, specialized skills in AI, machine learning, or embedded systems, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation at this level typically includes base salary, bonuses, and stock options, especially in competitive markets or leadership roles.
What are the most commonly searched types of Robotics Software Engineer jobs in Portland, OR? The most popular types of Robotics Software Engineer jobs in Portland, OR are:
Infographic showing various Robotics Software Engineer job openings in Portland, OR as of June 2026, with employment types broken down into 84% Full Time, 12% Part Time, 1% Contract, and 3% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $127,248 per year, or $61.2 per hour.
Software Engineer, ML Infrastructure

Software Engineer, ML Infrastructure

Serve Robotics

Vancouver, WA • On-site, Remote

$155K - $190K/yr

Full-time

Posted 14 days ago


Job description

At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We're looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
As a Software Engineer on the Machine Learning (ML) Infrastructure team, you will help design, build, and maintain our petabyte-scale data and ML platform that powers data partnerships, ML research, and autonomy engineering. You will build and improve our data discovery capabilities and integrate with 3rd party annotation platforms. By collaborating with members of the autonomy and ml teams you will help us refine how we organize various data attributes and classifications. This role plays a pivotal role in helping the team leverage data from our rapidly expanding fleet of thousands of robots.
Responsibilities
  • Develop and maintain highly scalable data processing pipelines for data curation, annotation, search and ml feature extraction.
  • Build data discovery features for the platform.
  • Create and maintain search features such as natural language querying
  • Develop and maintain our orchestration and scheduling systems.
  • Maintain and evolve our data schemas such as unified data attribute system, scenario tagging and management
  • Build integrations with annotation providers to efficiently review large scale data preannotations
  • Collaborate with autonomy engineers to collect feedback, improve documentation, and run tutorials on platform features

Qualifications
  • BS or MS in computer science with focus in data engineering and/or machine learning
  • 3+ years of industry experience building, running and improving large-volume data processing, feature extraction, data annotation workflows
  • Experience building data mining and search capabilities
  • Experience with both Python and SQL is required
  • Solid understanding of data distributions and their impact on ML Models
  • Hands-on experience and good understanding of LLMs, VLMs, embeddings, vector databases
  • Experience with data annotation providers such as CVAT, LabelBox, LabelStudio, etc

What Makes You Stand Out
  • Experience with integrating cloud inference platforms for LLMs/VLMS (ChatGPT, Gemini, etc)
  • Experience working with Multi Modal data (Lidar, Camera, etc)
  • Experience with robotics systems
  • Experience optimizing large scale vector databases