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Cuda Programming Jobs in New York (NOW HIRING)

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 ...

Lofty

Software Engineer

New York, NY · On-site

  • Medical

  • Vision

  • PTO

Generalist Software Engineer + Computer Vision-focused Software Engineer Lofty is creating 3D ... OpenGL, Cuda, GeForce, and graphics accelerators An ability to characterize and optimize the ...

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Cuda Programming information

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How much do cuda programming jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for cuda programming in New York is $59.47, according to ZipRecruiter salary data. Most workers in this role earn between $48.12 and $69.42 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 New York? For Cuda Programming jobs in New York, the most frequently searched job titles are:
What job categories do people searching Cuda Programming jobs in New York look for? The top searched job categories for Cuda Programming jobs in New York are:
What cities in New York are hiring for Cuda Programming jobs? Cities in New York with the most Cuda Programming job openings:
Cuda Programming jobs near you
Infographic showing various Cuda Programming job openings in New York as of August 2026, with employment types broken down into 1% Internship, 77% Full Time, 15% Part Time, 2% Temporary, 4% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $123,692 per year, or $59.5 per hour.

Software Engineer - Model Products

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:
Baseten's Model Performance (MP) team is responsible for ensuring the models running on our platform are fast, reliable, and cost‑efficient. As part of this team, you'll focus on Model APIs - the infrastructure powering our hosted API endpoints for the latest open‑source models. This work spans distributed systems, model serving, and developer experience. You'll join a small, high‑impact team operating at the intersection of product, model performance, and infra, helping to define how developers interact with AI models at scale.
RESPONSIBILITIES:
  • Design, build, and operate the Model APIs surface with focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling and multi-modal serving
  • Profile and optimize TensorRT-LLM kernels, analyze CUDA kernel performance, implement custom CUDA operators, tune memory allocation patterns for maximum throughput and optimize communication patterns across multi-GPU setups
  • Productionize performance improvements across runtimes with deep understanding of their internals: speculative decoding implementations, guided generation for structured outputs, custom scheduling and routing algorithms for high-performance serving
  • Build comprehensive benchmarking frameworks that measure real-world performance across different model architectures, batch sizes, sequence lengths, and hardware configurations
  • Productionize performance improvements across runtimes (e.g.TensorRT, TensorRT‑LLM): speculative decoding, quantization, batching, and KV‑cache reuse.
  • Instrument deep observability (metrics, traces, logs) and build repeatable benchmarks to measure speed, reliability, and quality.
  • Implement platform fundamentals: API versioning, validation, usage metering, quotas, and authentication.
  • Collaborate closely with other teams to deliver robust, developer‑friendly model serving experiences.

REQUIREMENTS:
  • 3+ years experience building and operating distributed systems or large‑scale APIs.
  • Proven track record of owning low‑latency, reliable backend services (rate‑limiting, auth, quotas, metering, migrations).
  • Infra instincts with performance sensibilities: profiling, tracing, capacity planning, and SLO management.
  • Comfortable debugging complex systems, from runtime internals to GPU execution traces.
  • Strong written communication; able to produce clear design docs and collaborate across functions.

NICE TO HAVE:
  • Experience with LLM runtimes (vLLM, SGLang, TensorRT‑LLM) or contributions to open-source inference engines (vLLM, TensorRT-LLM, SGLang, TGI)
  • Knowledge of Kubernetes, service meshes, API gateways, or distributed scheduling.
  • Background in developer‑facing infrastructure or open‑source APIs.
  • We value infra‑leaning generalists who bring strong engineering fundamentals and curiosity. ML experience is a plus, but not required.

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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