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Cuda Programming Jobs in Newark, NJ (NOW HIRING)

Baseten

Software Engineer - GPU Kernels

New York, NY · On-site

$180K - $360K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Write and optimize code using CUDA, PTX assembly, and architecture-specific techniques * Apply advanced performance optimization methods such as memory coalescing, warp-level programming, tensor core ...

Jump Trading

Campus AI Research Engineer (Full-Time)

New York, NY · On-site

$300K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Work across a mix of programming languages: C / C++ / Python / CUDA and other low-level GPU languages. * Build large-scale AI/ML systems that are observable, performant, and flexible. Help improve ...

BaseTen

Software Engineer - Model Products

Manhattan, NY · On-site

$140 - $210/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Join us and help build the platform engineers turn to to ship AI products. THE ROLE Baseten's Model ... Profile and optimize TensorRT‑LLM kernels, analyze CUDA kernel performance, implement custom CUDA ...

Baseten

Software Engineer - Model Products

New York, NY · On-site

$180K - $360K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Join us and help build the platform engineers turn to to ship AI products. THE ROLE: Baseten ... Profile and optimize TensorRT-LLM kernels, analyze CUDA kernel performance, implement custom CUDA ...

L3HHCM20

Associate, Software Engineering

Clifton, NJ

$75K - $140K/yr

  • Retirement

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 ...

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Cuda Programming information

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How much do cuda programming jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for cuda programming in Newark, NJ is $56.84, according to ZipRecruiter salary data. Most workers in this role earn between $46.01 and $66.35 per hour, depending on experience, location, and employer.

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.

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 processing. Skills in parallel programming, GPU architecture, and CUDA toolkit are highly valued, and job opportunities are expected to grow as industries adopt GPU acceleration for complex tasks.

What does a CUDA programming developer do?

A CUDA programming developer writes software that leverages NVIDIA's CUDA platform to perform parallel processing on GPUs, optimizing computational tasks such as scientific simulations, machine learning, and image processing. They typically work with C++ and CUDA-specific libraries, debugging and optimizing code for high performance in environments that require intensive data processing.

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Cuda Programming jobs near you
Infographic showing various Cuda Programming job openings in Newark, NJ 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 $118,230 per year, or $56.8 per hour.

Software Engineer - GPU Kernels

Baseten

New York, NY • On-site

$180K - $360K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Job description

ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
We're seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As a GPU Kernel Engineer, you'll craft the foundation that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications.
You'll work in a fast-paced, intellectually stimulating environment where technical excellence is paramount and your contributions directly influence production systems serving millions of users across numerous products. This role offers exceptional growth potential for engineers passionate about low-level optimization and high-impact systems work.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Model Performance team:
  • Baseten Embeddings Inference: The fastest embeddings solution available
  • The Baseten Inference Stack
  • Driving model performance optimization

RESPONSIBILITIES
Core Engineering Responsibilities
  • Design and implement high-performance GPU kernels for key ML operations, including matrix multiplications, attention mechanisms, and mixture-of-experts routing
  • Write and optimize code using CUDA, PTX assembly, and architecture-specific techniques
  • Apply advanced performance optimization methods such as memory coalescing, warp-level programming, tensor core acceleration, and compute/memory overlap

Performance & Innovation
  • Implement cutting-edge features like quantization (FP8/FP4), sparsity, and compute/communication overlap
  • Identify and resolve performance bottlenecks using tools like Nsight Systems, Nsight Compute, and Torch Profiler
  • Collaborate with research teams to productionize theoretical advancements

Impact & Collaboration
  • Contribute to internal and open-source GPU libraries
  • Present technical contributions at industry conferences (e.g., NVIDIA GTC, AWS re:Invent)

REQUIREMENTS
  • Strong understanding of GPU architecture and programming paradigms:
    • Memory hierarchy (global, shared, registers, L1/L2 cache)
    • Thread/block/grid organization
    • Synchronization techniques and race condition mitigation
  • Proficient in C++ and GPU performance profiling tools
  • Knowledge of:
    • CUDA C++ API
    • Memory access patterns and bandwidth optimization
    • Numerical precision and quantization strategies
    • Modern GPU features (e.g., tensor cores, async operations)

NICE TO HAVE
  • Experience with Transformer models and attention optimization (e.g., Flash Attention)
  • Familiarity with GPU kernel libraries: Cutlass, Triton, Thrust, CUB
  • Background in GEMM tuning and distributed/multi-GPU compute
  • Contributions to open-source GPU projects
  • Research publications or conference presentations on GPU performance

BENEFITS
  • Competitive compensation, including meaningful equity.
  • 100% coverage of medical, dental, and vision insurance for employee and dependents
  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
  • Paid parental leave
  • Fertility and family-building stipend through Carrot
  • Company-facilitated 401(k)
  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

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