ZipRecruiter

Log In

1

Embedded Linux Contract Jobs in Boston, MA (NOW HIRING)

jobr.pro

Electrical Engineer, Robotics Hardware

Boston, MA · On-site

$70 - $300/hr

... GPS), embedded compute (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power ... Build: Work with vendors and contract manufacturers to procure PCBs and harnesses. Develop QA ...

New

General Atomics

Engineer V

Acton, MA · On-site

Organize and review technical efforts, documentation, and deliverables on payload contracts in ... Experience with C/C++, Python, Real Time Operating Systems, embedded systems, Linux, Microsoft ...

General Atomics

Engineer V

Acton, MA · On-site

$105K - $189K/yr

Organize and review technical efforts, documentation, and deliverables on payload contracts in ... Experience with C/C++, Python, Real Time Operating Systems, embedded systems, Linux, Microsoft ...

FieldAI

Electrical Engineer, Humanoid Robotics

Boston, MA · On-site

$100K - $240K/yr

... GPS), embedded compute (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power ... Build: Work with vendors and contract manufacturers to procure PCBs and harnesses. Develop QA ...

previous pagenext page

Showing results 21-40

All JobsEmbedded Linux Contract JobsEmbedded Linux Contract Jobs in Boston, MA

Embedded Linux Contract information

See Boston, MA salary details

$91.3K

$146.5K

$205.9K

How much do embedded linux contract jobs pay per year?

As of Aug 20, 2026, the average yearly pay for embedded linux contract in Boston, MA is $146,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $174,400.00 per year, depending on experience, location, and employer.

What is an embedded Linux contract?

An Embedded Linux Contract job is a temporary or project-based position where a professional develops, maintains, or customizes Linux-based systems for embedded devices. These roles typically involve working with hardware interfaces, kernel development, driver programming, and real-time system optimization. Contracts vary in duration and can be with companies developing products like IoT devices, automotive systems, or industrial controllers. Contractors may work independently or as part of a team, often requiring strong expertise in C/C++, Yocto, and Linux internals.

What does an embedded Linux contract do?

In an Embedded Linux Contract role, your daily tasks usually involve developing and debugging embedded software, integrating hardware drivers, and ensuring system reliability on targeted hardware platforms. You may also collaborate with hardware engineers to resolve integration challenges and participate in code reviews to maintain high standards. Additionally, responsibilities often include configuring build systems, writing documentation, and working closely with QA teams to address issues. The work is usually project-based, and you can expect a blend of independent problem-solving and teamwork, often in a remote or flexible work environment.

What are the key skills and qualifications needed for an embedded Linux contract?

To excel as an Embedded Linux Contract professional, you need strong proficiency in embedded C/C++, Linux kernel and device driver development, and hardware-software integration, often backed by a degree in Computer Engineering or a related field. Familiarity with development tools such as Git, cross-compilers, Yocto Project, and board support packages is highly valued, as are certifications like LFCE or Linux Foundation Certified Engineer. Excellent problem-solving skills, self-motivation, and clear communication are crucial, especially when working remotely or with cross-functional teams. These skills ensure you can efficiently deliver high-quality, reliable solutions that meet the complex requirements of embedded systems projects.

What are the most commonly searched types of Embedded Linux jobs in Boston, MA?

The most popular types of Embedded Linux jobs in Boston, MA are:

What are popular job titles related to Embedded Linux Contract jobs in Boston, MA?

For Embedded Linux Contract jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Embedded Linux Contract jobs in Boston, MA look for?

The top searched job categories for Embedded Linux Contract jobs in Boston, MA are:

What cities near Boston, MA are hiring for Embedded Linux Contract jobs?

Cities near Boston, MA with the most Embedded Linux Contract job openings:

Embedded Linux Contract jobs near you
Infographic showing various Embedded Linux Contract job openings in Boston, MA as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 6% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $146,532 per year, or $70.4 per hour.

Senior Software Engineer, Robotics & Physical AI Integration

Goddard Technologies, Inc.

Wilmington, MA • On-site

$140K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 9 days ago

Job description

Our Mission:
Through inspired engineering and design, we deliver outstanding solutions that positively impact lives. We use an interdisciplinary development process that combines our diverse engineering experience with creative industrial design solutions. We succeed when our partners succeed - it's all about solving the most complex challenges by creating transformative technology.
Our Culture and People:
At Goddard, our most important asset is our people. We don't just work together; we thrive together. We foster a culture of collaboration, continuous learning, and mutual support. We believe in taking exceptionally good care of each other because great teams build great solutions. If you are someone who embodies the values of accountability, inspiration, dedication, efficiency, innovation, integrity, quality, and reliability, we want you on our team. Come be a part of a workplace where your ideas are valued, your growth is encouraged, and your contributions make a real impact. Join us in shaping the future of transformative technology - together.
The Role:
  • We are looking for a Senior Software Engineer to own the integration layer between our AI/ML models and the physical systems they control. This is not a role for someone who writes glue code and calls it done. You will be expected to own the full stack from industrial fieldbus communication and real-time control loops up through the software interfaces that put trained models to work in the real world. You will work directly with our Machine Learning Engineer to define inference contracts and latency budgets, and with our hardware and mechanical teams to understand what the physical system can and cannot tolerate. If you have strong opinions about how software should behave when it controls hardware that moves, and you debug problems that span firmware, operating systems, and silicon without losing patience, you will thrive here.

Responsibilities:
  • Design and implement software that integrates ML model inference outputs with physical hardware, including motion controllers, servo drives, actuators, and industrial I/O.
  • Develop and maintain ROS 2 nodes, hardware abstraction layers, and device drivers for robotics and automation hardware. Implement and own communication stacks across industrial fieldbuses including EtherCAT, CANopen, Modbus, and Profinet.
  • Interface with industrial robot controllers (e.g., FANUC, KUKA, ABB, Universal Robots, Yaskawa) via vendor SDKs, proprietary communication interfaces, and standard industrial protocols; translate controller capabilities and constraints into software integration requirements.
  • Interface with low-level embedded hardware over SPI, I2C, UART, GPIO, and CAN, and collaborate with embedded engineers to define cross-boundary interfaces.
  • Integrate machine vision and camera systems, including image acquisition pipelines, sensor calibration, and routing vision outputs to downstream control and inference logic.
  • Collaborate with the ML Engineer to define inference APIs, data contracts, and performance budgets between model outputs and physical actuators.
  • Develop real-time and near-real-time control loops on Linux (PREEMPT_RT) and RTOS targets, with a clear understanding of scheduling, jitter, and determinism requirements.
  • Build hardware-in-the-loop (HIL) and integration test infrastructure that can verify system behavior with and without live hardware.
  • Document software architecture, interface contracts, timing assumptions, and integration procedures for both internal engineering and regulatory purposes.
  • Proactively identify integration risks, timing failures, and hardware/software boundary issues before they surface as field problems.

Qualifications:
  • 5+ years in systems or robotics software engineering with a demonstrated track record of shipping software that controls physical hardware in production.
  • Programming: Strong proficiency in C and C++; Python for tooling, scripting, and test automation. ROS / ROS 2: Hands-on experience writing nodes, services, actions, and hardware interface layers; comfortable with launch systems, parameter management, and tf2.
  • Industrial Robotics: Hands-on experience interfacing with industrial robot controllers from one or more major vendors (FANUC, KUKA, ABB, Universal Robots, Yaskawa/Motoman, or equivalent); working knowledge of robot coordinate frames, kinematics, end-of-arm tooling interfaces, teach pendant workflows, and vendor-specific programming environments (e.g., Karel, KRL, RAPID, URScript).
  • Industrial Protocols: Practical experience implementing at least one industrial fieldbus protocol - EtherCAT, CANopen, Modbus, or Profinet - in a production system.
  • Embedded Interfaces: Working knowledge of SPI, I2C, UART, CAN, and GPIO, and experience debugging communication failures at the signal level. Real-Time Systems: Experience with real-time Linux (PREEMPT_RT or Xenomai) or an RTOS (FreeRTOS, Zephyr, or QNX) for deterministic control, with an understanding of how to measure and bound latency.
  • Functional Safety: Familiarity with functional safety standards relevant to machinery or software in safety-critical systems (e.g., IEC 62304, ISO 13849, or IEC 61508), with an ability to translate safety requirements into software constraints.
  • Debugging: Demonstrated ability to isolate failures in systems where the root cause may be in software, firmware, hardware, or the interface between them.
  • Software Engineering: Solid fundamentals - Git, code review, unit and integration testing, CI/CD - applied to systems code, not just application code.

Nice To Have:
  • Experience integrating machine vision systems using GigE Vision, USB3 Vision, or similar standards; familiarity with OpenCV or other vision processing libraries.
  • Working knowledge of motion control concepts: servo tuning, trajectory generation, path planning, and force/torque sensing and control.
  • Experience consuming ML inference runtimes (TFLite, ONNX, TensorRT) within a control or perception pipeline, and an understanding of the operational constraints they impose.
  • Exposure to simulation and digital twin environments such as Gazebo, NVIDIA Isaac Sim, or MoveIt for offline testing and development.
  • Experience in a startup or small-team environment where you own architecture decisions and build tooling and process alongside the product.

What We Value
  • Ownership: you own the behavior of the physical system end to end, from fieldbus packet to actuator response, and you do not hand problems off at the first sign of ambiguity.
  • Self-motivation: you identify gaps in integration coverage, tooling, and system reliability on your own, and you close them without waiting to be asked.
  • Problem-solving depth: you are not satisfied with a system that works most of the time; you understand the failure modes, quantify the risk, and drive to root cause.
  • Curiosity and continuous learning: the intersection of AI and physical systems is new territory, and you are drawn to it rather than cautious of it.
  • Direct, clear communication: you write well, translate hardware constraints into software requirements for ML collaborators, and surface timing and safety risks early.

Education Requirements:
  • Bachelor's degree in Computer Science, Electrical Engineering, Robotics, Mechatronics, or a related field required.
  • Advanced degree is a plus but not a substitute for hands-on experience shipping software that controls physical systems

Our Benefits:
Flexible Time Off: Benefit from our generous flexible time off policy. We also provide sick leave and bereavement time because we understand that not all time off is for fun.
Retirement Savings: Invest in your future with a 401(k)-retirement plan. Goddard contributes 3% of your annual salary directly into your 401(k) account-regardless of your own contributions.
Health Coverage:Access to comprehensive medical, dental, and vision insurance for you and your family. Goddard contributes 80% of monthly premiums for all medical plan options.
Family Support: To take the time you need to welcome the newest member of your family, Goddard offer 6 weeks fully paid parental leave with support of PFML state programs.
Company Engagement: Engage with your colleagues through a variety of regular company and team events, including weekly social hours, Athletic Club outings, and department outings.
The pay range for this role is:
140,000 - 165,000 USD per year (Wilmington Office)

Apply