# Systems Research Engineer, GPU Programming

**Company:** [Together AI](https://hotfix.jobs/companies/together-ai)
**Location:** Remote
**Role:** AI Research
**Salary:** $160k – $230k/yr
**Skills:** CUDA, Triton, Gpu Programming, Parallel Computing, Ml/Ai, Performance Profiling, Optimization Tools
**Posted:** 2026-02-03

> Develops and optimizes GPU-accelerated kernels and algorithms for ML/AI applications, co-designing with modeling, hardware, and software teams. Requires strong GPU programming expertise in CUDA/Triton and knowledge of ML models.

## Job Description

## Responsibilities

- Optimize and fine-tune GPU code to achieve better performance and scalability
- Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems
- Stay up-to-date with the latest advancements in GPU programming techniques and technologies

## Requirements

- Strong background in GPU programming and parallel computing, such as **CUDA** and/or **Triton**
- Knowledge of ML/AI applications and models
- Knowledge of performance profiling and optimization tools for GPU programming
- Excellent problem-solving and analytical skills
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences

## Compensation

US base salary range: **$160,000 - $230,000** + equity + benefits. Competitive compensation with flexibility in remote work.

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