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Remote Avionics Systems Engineer Jobs in Boston, MA

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

$144K - $192K/yr

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

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All JobsAvionics Systems Engineer JobsRemote Avionics Systems Engineer JobsRemote Avionics Systems Engineer Jobs in Boston, MA

Remote Avionics Systems Engineer information

See Boston, MA salary details

$47.3K

$150.8K

$247.2K

How much do remote avionics systems engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote avionics systems engineer in Boston, MA is $150,767.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,700.00 and $171,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote avionics systems engineer, and why are they important?

To thrive as a Remote Avionics Systems Engineer, you need a solid background in electrical engineering, avionics integration, and systems analysis, typically supported by a relevant engineering degree and, ideally, industry certifications like DO-178C or DO-254. Familiarity with avionics design tools (such as MATLAB/Simulink, LabVIEW), FAA regulations, and software/hardware testing platforms is essential. Strong problem-solving abilities, attention to detail, and effective remote communication skills set outstanding professionals apart in this field. These competencies are critical for ensuring the safety, reliability, and compliance of complex avionics systems, especially when collaborating virtually with multidisciplinary teams.

What is a remote avionics systems engineer?

A Remote Avionics Systems Engineer is a professional who designs, develops, tests, and maintains electronic systems used in aircraft and spacecraft, such as navigation, communication, and control systems, while working from a remote location. They collaborate with other engineers and technical teams using online tools to ensure avionics systems meet safety and performance standards. This role often involves troubleshooting issues, integrating new technologies, and ensuring compliance with industry regulations, all accomplished without being physically present at the manufacturing or testing site.

How does a remote avionics systems engineer typically collaborate with on-site engineering teams and stakeholders?

As a Remote Avionics Systems Engineer, you'll frequently use digital collaboration tools such as video calls, virtual whiteboards, and cloud-based project management platforms to coordinate with on-site teams. Clear communication is essential, as you'll often provide technical input, review schematics, and troubleshoot issues remotely. Regular virtual meetings and well-documented processes help ensure alignment across teams despite the physical distance. Building strong working relationships with on-site colleagues and maintaining proactive communication are key to overcoming the unique challenges of remote collaboration in this highly technical field.

What is the difference between Remote Avionics Systems Engineer vs Remote Aerospace Systems Engineer?

AspectRemote Avionics Systems EngineerRemote Aerospace Systems Engineer
CredentialsBachelor's in Electrical, Aerospace, or Systems Engineering; certifications like INCOSE or FAA-related are commonBachelor's in Aerospace, Mechanical, or Systems Engineering; similar certifications may apply
Work EnvironmentDesign, develop, and test avionics systems for aircraft, often collaborating remotely with aerospace companiesWork on broader aerospace systems including spacecraft, satellites, and aircraft, often remotely
Industry UsagePrimarily in aviation and defense sectorsIn aerospace, defense, and space exploration sectors

The Remote Avionics Systems Engineer focuses specifically on aircraft electronic systems, while the Remote Aerospace Systems Engineer covers a broader range of aerospace technologies. Both roles require similar technical skills and certifications but differ in their application scope and industry focus.

What are popular job titles related to Remote Avionics Systems Engineer jobs in Boston, MA? For Remote Avionics Systems Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Avionics Systems Engineer jobs in Boston, MA look for? The top searched job categories for Remote Avionics Systems Engineer jobs in Boston, MA are:
Remote Avionics Systems Engineer jobs near you
Infographic showing various Remote Avionics Systems Engineer job openings in Boston, MA as of June 2026, with employment types broken down into 80% Full Time, 12% Part Time, and 8% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $150,767 per year, or $72.5 per hour.

Machine Learning Systems Engineer

Motional

Boston, MA • On-site, Remote

$144K - $192K/yr

Full-time

Re-posted 29 days ago

Job description

Mission Summary:

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models.

What you'll be doing:

  • Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time.
  • Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed.
  • Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads.
  • Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput.

What we're looking for:

  • Education: Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline.
  • Software Engineering: Strong proficiency in Python.
  • ML Frameworks: Extensive hands-on experience with PyTorch.
  • ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.
  • Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range
$144,000—$192,000 USD

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.

Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.