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Temporary Kernel Trading Technologies Jobs (NOW HIRING)

Simplex Trading

Infrastructure Engineer

Chicago, IL · On-site

$110K - $145K/yr

Infrequent evening/weekend work to allow for change execution outside of trading hours * Other ... kernel, modules, memory allocation, filesystems) * Familiarity with common server technologies ...

IMC B.V.

Trading Engineer - Execution

Chicago, IL · On-site

$130 - $215/hr

Trading Engineer - Execution We are looking for a multi-talented and passionate Trading Systems ... offload, and kernel bypass technology required * Proficiency in Python and Bash required

Stable Kernel

Senior Business Analyst - Contract

Atlanta, GA · On-site

$89K - $114K/yr

Stable Kernel is a technology services firm and custom software developer building scalable ... You can speak to the data model, the reward lifecycle, and the business trade-offs involved. ● ...

Atto Trading

Low-Latency Developer

New York, NY

$150K - $300K/yr

... trading, statistics, engineering, and technology. Our disciplined approach combined with rapid ... Deep knowledge of HFT platforms: networking, kernel bypass, market data, order entry, threading ...

Atto Trading

Low-Latency Developer

New York, NY · On-site

$150K - $300K/yr

... trading, statistics, engineering, and technology. Our disciplined approach combined with rapid ... Deep knowledge of HFT platforms: networking, kernel bypass, market data, order entry, threading ...

G-20 Group

Low Latency MM Engineer

New York, NY · On-site

We combine startup agility with institutional-grade experience in proprietary trading, technology ... Continuously profile and optimize the tick-to-trade path, from network interface through kernel to ...

Atto Trading

Low-Latency Developer

New York, NY · On-site

$150K - $300K/yr

... trading, statistics, engineering, and technology. Our disciplined approach combined with rapid ... Deep knowledge of HFT platforms: networking, kernel bypass, market data, order entry, threading ...

G-20 Group

Low Latency MM Engineer

New York, NY · On-site

We combine startup agility with institutional-grade experience in proprietary trading, technology ... Continuously profile and optimize the tick-to-trade path, from network interface through kernel to ...

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Temporary Kernel Trading Technologies information

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$39.5K

$96.8K

$269.5K

How much do temporary kernel trading technologies jobs pay per year?

As of Aug 22, 2026, the average yearly pay for temporary kernel trading technologies in the United States is $96,774.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $105,500.00 per year, depending on experience, location, and employer.

What cities are hiring for Temporary Kernel Trading Technologies jobs?

Cities with the most Temporary Kernel Trading Technologies job openings:

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Temporary Kernel Trading Technologies jobs near you
Infographic showing various Temporary Kernel Trading Technologies job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, 5% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $96,774 per year, or $46.5 per hour.

Software Engineer - GPU Kernel

FriendliAI Corp

San Francisco, CA • On-site

Full-time

Medical

Re-posted 2 days ago

Job description

About the job
FriendliAI is looking for a GPU Kernel Engineer to design, build, and optimize the low-level compute kernels that power our large-scale, GPU-accelerated AI inference platform. You will be delivering world-class inference speed across NVIDIA and AMD GPUs. With our recent $20M funding, we are scaling our team to meet market demand.
This is a deeply technical, high-impact role where you will write GPU code, implement advanced optimizations. As part of our engine team, you will contribute directly to the company's proprietary inference engine which supports over 600,000 models on Hugging Face. You will work with the inventors of continuous batching and collaborate with the platform team to deploy your work into production.
Key Responsibilities
  • Design, implement, and optimize high-performance GPU kernels for AI inference (e.g., GEMM, attention, routing)
  • Develop and maintain GPU code in CUDA and C++, including low-level assembly when needed
  • Implement reduced-precision and quantized kernels (FP8/FP4) for low-latency or high-throughput inference
  • Benchmark and ensure cross-vendor performance parity between NVIDIA and AMD hardware
  • Contribute to internal GPU libraries and tune performance of performance-critical components
  • Accelerate multi-modal model pipelines
  • Investigate and integrate next-generation GPU features
Qualifications
  • 3+ years of experience in GPU programming, HPC, or performance-critical systems
  • Bachelor's or Master's degrees in Computer Science, Computer Engineering, Electrical Engineering, or a related field
  • Strong proficiency in CUDA for NVIDIA GPUs or ROCm/HIP for AMD GPUs
  • Deep understanding of GPU architecture: warps, threads, memory hierarchy, synchronization, and latency-throughput trade-offs
  • Proficiency in C++
  • Experience with GPU profiling and performance tuning
  • Strong numerical background with understanding of precision trade-offs and quantization techniques

Preferred Experience
  • Experience optimizing transformer, multi-modal, or Mixture-of-Experts (MoE) architectures at the kernel level
  • Familiarity with the latest GPU libraries and frameworks (CUTLASS, Triton, ...)
  • Inter-GPU communication programming experience
  • Open-source contributions related to GPU performance or ML acceleration
  • Research or conference presentations on GPU optimization, HPC, or numerical computing

Benefits
  • Flexible working hours
  • Daily lunch and dinner provided; unlimited snacks and beverages
  • Supportive and highly collaborative work environment
  • Health check-up support and top-tier equipment/hardware support
  • A front-row seat to the generative AI infrastructure revolution
  • Competitive compensation, startup equity, health insurance, and other benefits.

About FriendliAI
FriendliAI is building the world's best AI inference platform that makes large language and multi-modal models fast, efficient, and deployable at scale. We power high-throughput, low-latency AI workloads for organizations worldwide and integrate directly with Hugging Face, giving developers instant access to over 600,000 open-source models.
We are a small, fast-moving team doing work that matters at one of the most exciting moments in the history of technology. With our world-class inference engine, we are building a platform that the AI industry can actually rely on.

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