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Current Demand Cuda Gpu Engineers Jobs (NOW HIRING)

Fuse Energy

AI Inference Engineer

As data centres become one of the largest and fastest-growing sources of electricity demand, Fuse ... Comfortable working directly with GPU/CUDA engineers to integrate low-level performance work into a ...

ConfigUSA

CUDA Programmer

Waukesha, WI · On-site

Profile and tune GPU applications for performance, memory efficiency, and scalability. * Work with CPU-GPU parallel programming models and optimize data transfer. * Leverage NVIDIA libraries (CUDA ...

YO AI Labs

CUDA Developer - Remote

Phoenix, AZ · Remote

$60 - $100/hr

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

YO AI Labs

CUDA Developer - Remote

Austin, TX · Remote

$60 - $100/hr

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

YO AI Labs

CUDA Developer - Remote

Boston, MA · Remote

$60 - $100/hr

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

YO AI Labs

CUDA Developer - Remote

Seattle, WA · Remote

$60 - $100/hr

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

YO AI Labs

GPU Programmer - Remote

San Francisco, CA · Remote

$60 - $85/hr

... Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your ... Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL . * Profile and optimize ...

YO AI Labs

GPU Programmer - Remote

Chicago, IL · Remote

$60 - $85/hr

... Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your ... Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL . * Profile and optimize ...

YO AI Labs

CUDA Developer - Remote

San Francisco, CA · Remote

$60 - $100/hr

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

YO AI Labs

CUDA Developer - Remote

Washington, DC · Remote

$60 - $100/hr

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

YO AI Labs

CUDA Developer - Remote

San Jose, CA · Remote

$60 - $100/hr

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

YO AI Labs

CUDA Developer - Remote

Philadelphia, PA · Remote

$60 - $100/hr

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

YO AI Labs

CUDA Developer - Remote

Los Angeles, CA · Remote

$60 - $100/hr

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

YO AI Labs

CUDA Developer - Remote

Chicago, IL · Remote

$60 - $100/hr

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

YO AI Labs

CUDA Developer - Remote

Houston, TX · Remote

$60 - $100/hr

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

YO AI Labs

GPU Programmer - Remote

Washington, DC · Remote

$60 - $85/hr

... Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your ... Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL . * Profile and optimize ...

YO AI Labs

CUDA Developer - Remote

Palo Alto, CA · Remote

$60 - $100/hr

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

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Current Demand Cuda Gpu Engineers information

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$206K

How much do current demand cuda gpu engineers jobs pay per year?

As of Aug 26, 2026, the average yearly pay for current demand cuda gpu engineers in the United States is $200,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $205,000.00 and $205,000.00 per year, depending on experience, location, and employer.

Are Current Demand Cuda Gpu Engineers in demand?

Current demand for CUDA GPU engineers remains high due to the growth of artificial intelligence, machine learning, and high-performance computing applications. These engineers are skilled in parallel programming with CUDA and are sought after in industries such as technology, research, and data centers.

How much do Current Demand CUDA Gpu Engineers make?

Current demand for CUDA GPU engineers typically offers salaries ranging from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in parallel computing and GPU programming can earn higher compensation, often exceeding $160,000 per year.

What cities are hiring for Current Demand Cuda Gpu Engineers jobs?

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What states have the most Current Demand Cuda Gpu Engineers jobs?

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Current Demand Cuda Gpu Engineers jobs near you
Infographic showing various Current Demand Cuda Gpu Engineers job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 79% Full Time, 15% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $200,510 per year, or $96.4 per hour.

AI Inference Engineer

Fuse Energy

Remote

Full-time

Medical

Re-posted 8 days ago

Job description

Fuse Energy is an energy startup on a mission to make energy abundant and affordable, fast. We combine first-principles thinking with cutting-edge technology to build a radically better energy system.
We've raised over $200M from top-tier investors including Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, 20VC, Hummingbird and Collaborative Fund, alongside strategic angels including Nico Rosberg and GPs behind Meta, Revolut, Spotify and Uber.
We're building a fully integrated energy company: developing our own solar, batteries and other generation projects, building our own hardware, improving and developing grid infrastructure, trading power in real time, using AI across the business, and installing distributed energy in homes. By selling directly to consumers we cut out the middleman, lower costs and pass the savings on to our customers.
As data centres become one of the largest and fastest-growing sources of electricity demand, Fuse is expanding into high-performance compute infrastructure at the intersection of energy and AI. We're building the GPU/CUDA performance layer and the inference serving layer at the same time, from scratch, and we're looking for the founding engineer to own the latter. Reporting directly to the CTO, you'll own the layer above kernels and hardware: how models actually get served, scaled and delivered against committed performance targets. Few companies can pair real power delivery with real compute the way Fuse can, which puts inference serving at the heart of our offering.
Responsibilities
  • Define Fuse's inference serving strategy and architecture from first principles
  • Design and build the serving stack: request routing, batching, scheduling and autoscaling for high-throughput, latency-sensitive inference workloads
  • Own model-level optimisation strategy for serving, deciding where and how to apply quantisation, distillation, speculative decoding and similar techniques to improve throughput and cost per token, partnering with the CUDA/GPU engineers
  • Make the core software architecture calls on serving frameworks and orchestration (e.g. vLLM, TensorRT-LLM, SGLang, Triton Inference Server or equivalents)
  • Translate throughput, latency and uptime commitments into concrete technical specifications and serving capacity plans
  • Act as direct technical owner of inference performance and reliability
  • Work closely with the CUDA and GPU engineering teams to integrate custom kernels and hardware performance work cleanly into the serving layer
  • Set the standards, tooling and benchmarks this function will run on as it grows

Requirements
  • 4+ years building or operating large-scale inference serving systems, or equivalent strong project/industry experience
  • Deep, hands-on experience with inference serving frameworks and the techniques used to optimise them (batching, KV-cache management, quantisation, speculative decoding)
  • Strong systems thinking, able to reason about the full path from incoming request to served response across a large cluster
  • Comfortable working directly with GPU/CUDA engineers to integrate low-level performance work into a serving system
  • A track record of making high-stakes architecture calls and owning the outcome
  • Comfort operating without a playbook: this is a founding role shaping a new function, not joining an established one
  • Bonus: Triton or custom ML inference/training frameworks; autoscaling or capacity planning for large-scale inference; multi-tenant serving or SLA-driven infrastructure; background at a hyperscaler, frontier AI lab or large-scale distributed inference system; Kubernetes/Slurm; interest in energy markets, grid systems or sustainability-focused compute

Benefits
  • Competitive salary and eligibility for equity
  • Biannual bonus scheme
  • Fully expensed tech to match your needs
  • Private health insurance
  • Breakfast and dinner allowance for office-based employees

As we hire globally, benefits vary by location.

Apply