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Cuda Programming Jobs in Massachusetts (NOW HIRING)

Motional AD Inc.

Principal Engineer

Boston, MA · On-site

$240 - $330/hr

Strong programming skills in C++ and/or CUDA programming Salary Range $240,000 -- $330,000 USD Benefits Candidates for certain positions are eligible to participate in Motional's benefits program.

New

NorthEastern

Postdoctoral Research Associate

Boston, MA

$60K - $85K/yr

Experience with CUDA programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with ...

ASUS

Senior Computer Vision Engineer

Boston, MA · On-site

$164K - $237K/yr

Familiarity with GPU/CUDA programming for accelerated vision processing is a plus. * Flexibility to attend virtual meetings with the Taiwan-based team at least three nights per week. * Excellent ...

Motional

Staff Engineer

Boston, MA

$205K - $272K/yr

Strong programming skills in C++ and/or CUDA programming The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills ...

Motional

Staff Engineer

Boston, MA · On-site +1

$205K - $272K/yr

Strong programming skills in C++ and/or CUDA programming The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills ...

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Cuda Programming information

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$30

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$89

How much do cuda programming jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for cuda programming in Massachusetts is $59.36, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $69.33 per hour, depending on experience, location, and employer.

Are CUDA programmers in demand?

CUDA programmers are in high demand due to the growing need for high-performance computing in fields like artificial intelligence, scientific research, and data analysis. Skills in parallel programming, GPU architecture, and CUDA toolkit are highly valued by employers across technology, automotive, and research industries.

What is the difference between Cuda Programming vs GPU Developer?

AspectCuda ProgrammingGPU Developer
Required CredentialsKnowledge of CUDA, C/C++, parallel computingKnowledge of GPU architecture, CUDA, OpenCL, C/C++
Work EnvironmentHigh-performance computing, scientific research, AIGraphics, gaming, scientific visualization, AI
Industry UsageTech companies, research labs, AI firmsGaming, entertainment, tech, research

While Cuda Programming focuses specifically on writing code using NVIDIA's CUDA platform for parallel processing, GPU Developers have a broader role that includes designing, optimizing, and implementing GPU-based solutions across various platforms and technologies. Both roles require knowledge of GPU architecture and programming languages like C/C++, but GPU Developers often work on a wider range of applications beyond CUDA-specific projects.

What does a CUDA programmer do?

A CUDA programmer develops software that leverages NVIDIA's CUDA platform to perform parallel computing tasks on GPUs. They write and optimize code using languages like C++ and CUDA-specific libraries to accelerate applications in fields such as scientific computing, machine learning, and graphics processing.
What are popular job titles related to Cuda Programming jobs in Massachusetts? For Cuda Programming jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Cuda Programming jobs in Massachusetts look for? The top searched job categories for Cuda Programming jobs in Massachusetts are:
What cities in Massachusetts are hiring for Cuda Programming jobs? Cities in Massachusetts with the most Cuda Programming job openings:
Cuda Programming jobs near you
Infographic showing various Cuda Programming job openings in Massachusetts as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 14% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $123,476 per year, or $59.4 per hour.

Principal Engineer, Team Lead - Behaviors

Motional

Boston, MA

Full-time

Re-posted 20 hours ago

Job description

On our Behaviors team (Prediction and ML Planner), you will have the opportunity to work with world-class ML engineers, whose mission is to make self-driving vehicles a reality and to create a positive social impact. The Behaviors team develops ML models that learn how different agents navigate complex real-world traffic scenarios. We leverage these models to set the behavior of our self-driving vehicle, and predict the behavior of other agents such as vehicles and vulnerable road users. 

We are looking for proven leaders and technical experts who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You'll Be Doing:
  • Define and execute motion planning and prediction projects that improve our self-driving vehicles' capability to safely, comfortably and legally navigate complex traffic scenarios
  • Lead, manage and grow a team of engineers
  • Design and lead the implementation of behavior models that leverage the latest advancements in machine learning, generative AI and reinforcement learning
  • Productionize and deploy solutions onto autonomous vehicle fleets
  • Collaborate with perception, simulation, data platform and integration teams to validate and enhance your products' on-road performance
  • Communicate strategies, progress and challenges to executive leadership
What We're Looking for:
  • Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience
  • Proven leadership skills at executing large, complex technical initiatives
  • Extensive experience managing and leading engineers
  • Experience with deep learning frameworks such as TensorFlow or PyTorch
  • Fluency in Python, including standard scientific computing libraries
  • Proven track record of designing, developing and deploying ML solutions for autonomous vehicles or robotics
  • Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods 
  • Excellent communication and interpersonal skills
Bonus Points:
  • Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
  • Experience with state of the art generative AI, and/or reinforcement learning, paradigms
  • Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
  • Strong programming skills in C++ and/or CUDA programming

Apply