Research Engineer
Quick Summary
Develop performance-oriented model optimizations at multiple levels: Graph-level (e.g., operator fusion, kernel scheduling, memory planning) Kernel-level (CUDA, Triton, custom operators for specialized hardware) System-level (distributed training…
We are seeking a highly skilled Research Engineer to work on optimizing training and inference workloads on compute accelerators and clusters, through the Lightning Thunder compiler and the broader PyTorch Lightning ecosystem.
Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.
Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.
We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
Responsibilities
~1 min read- →Comprehensive medical, dental and vision coverage (U.S.); Private medical and dental insurance (U.K.)
- →Retirement and financial wellness support (U.S.); Pension contribution (U.K.)
- →Generous paid time off, plus holidays
- →Paid parental leave
- →Professional development support
- →Wellness and work-from-home stipends
- →Flexible work environment
At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.
Location & Eligibility
Listing Details
- First seen
- March 26, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 43
- Repost count
- 0
- Trust Level
- 41%
- Scored at
- May 8, 2026
Signal breakdown
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