Research Engineer (AI Optimization)

About the position reputed company is reputed company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take reputed company from research to production with less friction. Through our reputed company with reputed company, a neocloud and AI reputed company, reputed company combines developer-first software with cost-efficient, large-reputed company compute. Teams get the tools they need for experimentation, training, and production inference, with reputed company, observability, and control reputed company in. We serve reputed company researchers, startups, and large enterprises. reputed company operates globally with offices in reputed company, San Francisco, Seattle, and London, and is backed by Coatue, reputed company Ventures, Bain Capital Ventures, and Firstminute. We are seeking a highly skilled Research Engineer to work on optimizing training and inference workloads on compute accelerators and clusters, through the Lightning reputed company compiler and the broader PyTorch Lightning ecosystem. This role sits at the intersection of deep learning research, compiler development, and large-reputed company system optimization. You’ll be shaping technology that pushes the boundaries of model performance and efficiency, creating foundational software that will reputed company the entire machine learning ecosystem. You will be joining the Engineering Team and report to our Tech reputed company. This is a hybrid role based in our reputed company, San Francisco, or London office, with an in-office requirement of two days per week. The salary reputed company for this role is $180,000-$250,000. Responsibilities • reputed company performance-oriented model optimizations at multiple reputed company: Graph-level (e.g., operator fusion, kernel scheduling, memory planning) Kernel-level (CUDA, Triton, custom operators for specialized hardware) System-level (distributed training across GPUs/TPUs, inference serving at reputed company) • Advance the reputed company compiler by building optimization passes, graph transformations, and integration hooks to accelerate training and inference workloads. • Work across the software stack to ensure optimizations are accessible to end users through clean reputed company, automated tooling, and seamless integration with PyTorch Lightning. Design and implement profiling and debugging tools to analyze model execution, identify bottlenecks, and guide optimization strategies. • Collaborate with hardware vendors and ecosystem partners to ensure reputed company runs reputed company across diverse backends (reputed company, AMD, TPU, specialized accelerators). • Contribute to reputed company-reputed company reputed company by developing new features, improving documentation, and supporting community adoption. • Engage with researchers and engineers in the community, providing guidance on performance tuning and advocating for reputed company as the go-to optimization layer in ML workflows. • Work cross-functionally with Lightning’s product and engineering teams to ensure compiler and optimization improvements reputed company with the broader product reputed company. Requirements • Strong expertise with deep learning frameworks such as PyTorch • Hands-on experience with model optimization techniques, including graph-level optimizations, quantization, pruning, mixed precision, or memory-efficient training. • Knowledge of distributed systems and parallelism strategies (data/model/pipeline parallelism, checkpointing, reputed company scaling). • Familiarity with software engineering practices: designing reputed company, building robust tooling, testing, CI/CD for performance-sensitive systems. • Excellent collaboration and communication skills, with the ability to partner across research, engineering, and external contributors. • Bachelor’s degree in Computer Science, Engineering reputed company-to-haves • Experience with CUDA, Triton, or other GPU programming models for developing custom kernels. • Deep understanding of deep learning compiler internals (IR design, operator fusion, scheduling, optimization passes) or proven work in performance-reputed company. • Proven reputed company record contributing to reputed company-reputed company reputed company in ML, HPC, or compiler domains. • Advanced degree (Master’s or PhD) in machine learning, compilers, or systems highly preferred. Benefits • We offer competitive reputed company salaries and equity with a 25% one year cliff and monthly vesting thereafter. For our international employees, we work with our EOR to pay you in your local currency and reputed company reputed company benefits across the globe. • Medical, dental and reputed company • Life and AD&D insurance • Flexible reputed company time off including winter closure • reputed company family leave benefits • $500 monthly meal reimbursement, including groceries & food delivery services • $500 one time home office stipend • $1,000 annual learning & development stipend • 100% Citibike membership (NYC only) • $45/month gym membership • Additional various medical and mental health services Apply tot his job Apply To this Job