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Cuda Developer Jobs in Massachusetts (NOW HIRING)

Analysis Group, Inc.

AI HPC Infrastructure Engineer

Boston, MA · Hybrid

$117K - $153K/yr

The engineer maintains the Linux-based clustered computing platform that supports both traditional ... Administer the NVIDIA software stack -- drivers, CUDA, cuDNN, NCCL -- and coordinate firmware and ...

Onto Innovation

Senior Software Engineer

Wilmington, MA · On-site

$133K - $176K/yr

They are seeking a highly motivated Software Engineer to develop frontend and backend solutions for ... Preferred : • Experience with machine learning, image processing, CUDA, or hardware control. • ...

Zoox

Software Engineer - C++ GPU Performance

Boston, MA

$168K - $239K/yr

As a GPU performance software engineer within the Software Performance team, you will instrument ... Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and ...

L3HHCM20

Associate, Software Engineering

Wilmington, MA · On-site

$75K - $140K/yr

CUDA Qualifications: * To be eligible, applicants must be pursuing a Bachelor's Degree in Computer Science or Electrical Engineering or have completed their Bachelor's degree within the last 12 ...

Nvidia

Senior HPC and Quantum Systems Engineer

Westford, MA · Hybrid

$108K - $148K/yr

Experience with or strong interest in quantum software environments including CUDA-Q, Qiskit, Cirq ... systems engineers, and external partners. Ways to Stand Out from the Crowd: * Direct experience ...

Delsys

R&D Software Engineer (FT)

Natick, MA · On-site

$90K - $110K/yr

Software Engineers in this role will focus on building robust backend systems, embedded processing ... CUDA, Bash, Powershell, C#, and ability to pick up new languages is a plus. • Strong problem ...

Nvidia

Senior HPC and Quantum Systems Engineer

Westford, MA · Hybrid

$108K - $148K/yr

We are seeking a Senior Quantum/HPC Systems Engineer to help architect, deploy, and operate a first ... Experience with or strong interest in quantum software environments including CUDA-Q, Qiskit, Cirq ...

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Cuda Developer information

See Massachusetts salary details

$52.4K

$122.1K

$181.3K

How much do cuda developer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for cuda developer in Massachusetts is $122,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $142,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Cuda developers in their daily work?

Cuda Developers often encounter challenges related to optimizing code for maximum performance while managing the unique memory hierarchies and parallel processing features of GPU architectures. Debugging and profiling GPU code can be more complex than standard CPU programming, requiring specialized tools and a strong understanding of concurrency. Collaboration with data scientists, machine learning engineers, and software architects is common, as Cuda Developers often integrate their code into larger, multi-disciplinary projects. These challenges make the role both stimulating and rewarding for those who enjoy solving intricate computational problems.

What are the key skills and qualifications needed to thrive in the Cuda developer position, and why are they important?

To thrive as a Cuda Developer, you need strong proficiency in C/C++ programming, parallel computing concepts, and hands-on experience with NVIDIA CUDA architecture. Familiarity with GPU development tools such as NVIDIA Nsight, CUDA Toolkit, and relevant certifications can further validate your expertise. Problem-solving skills, attention to detail, and effective collaboration are valuable soft skills in this position. These capabilities are crucial for efficiently developing, debugging, and optimizing high-performance GPU-accelerated applications in demanding computational environments.

What is a Cuda developer?

A CUDA Developer is a software engineer who specializes in programming using NVIDIA's CUDA (Compute Unified Device Architecture) platform. They leverage parallel computing to optimize and accelerate applications, mainly in fields like AI, scientific computing, and high-performance computing. Their responsibilities often include writing GPU-accelerated code, optimizing performance, and working with frameworks like TensorFlow or PyTorch.

What are the most commonly searched types of Cuda Developer jobs in Massachusetts? The most popular types of Cuda Developer jobs in Massachusetts are:
What are popular job titles related to Cuda Developer jobs in Massachusetts? For Cuda Developer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Cuda Developer jobs in Massachusetts look for? The top searched job categories for Cuda Developer jobs in Massachusetts are:
Cuda Developer jobs near you
Infographic showing various Cuda Developer job openings in Massachusetts as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $122,149 per year, or $58.7 per hour.

Senior Machine Learning Engineer I, Physical Sciences

Lila Sciences

Cambridge, MA • On-site

$133K - $176K/yr

Full-time

Re-posted 7 days ago

Job description

Your Impact at LILA

This Machine Learning Engineer for the Physical Sciences team focuses on building and operating end-to-end, scalable machine learning workflows that solve a diversity scientific use cases in materials, chemistry and physical sciences. Your work will advance research efforts on state-of-the-art algorithms to build towards scientific superintelligence across today's greatest challenges in physical sciences.

What You'll Be Building

  • Design, implement, and maintain endtoend ML pipelines (data ingestion, feature engineering, training, evaluation, deployment, monitoring).
  • Productionize models and services with robust testing, observability, and documentation in collaboration with cross-functional software teams and build CI/CD workflows and automated evaluations to ensure safe, frequent releases.
  • Collaborate with domain scientists and platform engineers to translate research insights into performant, scalable systems.
  • Contribute to technical design reviews, coding standards, and mentoring of best practices.

What You'll Need to Succeed

  • BS/MS/PhD in Computer Science, Engineering, or a related quantitative field, or equivalent industry experience.
  • Strong Python software engineering fundamentals (testing, packaging, typing); experience with machine learning frameworks (e.g., PyTorch, Huggingface, etc.).
  • Experience deploying ML services to production in cloud-based infrastructure (FastAPI/GRPC, containers, orchestration, cloud infra).
  • Handson experience with model deployment in production systems (LLMs, multimodal models, databases, RAG) with strong debugging and profiling skills.
  • Clear communication and collaboration in crossfunctional settings.

Bonus Points For

  • Exposure to scientific or engineering domains (materials, chemistry, physics) and related data formats/benchmarks.
  • GPU optimization experience (CUDA, Triton, compilation, distributed training).
  • Prior contributions to opensource ML or scientific software.
  • Experience with workflow orchestration, data provenance, or largescale compute environments.

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