Reflection AI · 1 day ago
Member of Technical Staff - GPU Infrastructure
San Francisco, CA
Full-time
Onsite
Mid, Senior LevelReflection AI is on a mission to build open superintelligence and make it accessible to all. They are seeking a Member of Technical Staff to design and operate large-scale GPU infrastructure while collaborating with various teams to enhance AI model training and inference.
Computer Software
Responsibilities
Design, build, and operate Reflection’s large-scale GPU infrastructure powering pre-training, post-training, and inference
Develop reliable, high-performance systems for scheduling, orchestration, and observability across thousands of GPUs
Optimize cluster utilization, throughput, and cost efficiency while maintaining reliability at scale
Build tools and automation for distributed training, inference, monitoring, and experiment management
Collaborate closely with research, training, and platform teams to accelerate development and enable large-scale training and inference
Push the limits of hardware, networking, and software to accelerate the path from idea to model
Qualification
Required
Deep systems or infrastructure engineering experience in high-performance or distributed computing environments
Strong understanding of GPUs, CUDA, NCCL, and large-scale training and inference frameworks and libraries (PyTorch, DeepSpeed, JAX, Megatron-LM, SGLang, vLLM, etc.)
Hands-on experience with containerization, orchestration, and cluster management (Kubernetes, Slurm, or similar)
Familiar with modern observability stacks and performance profiling tools
High agency and the ability to thrive in a fast-paced, high-ownership startup environment
Excited to build from zero to one defining how frontier-scale training/RL infrastructure is architected and operated
Motivated by enabling researchers and engineers to build the world's most capable open-weight AI systems
Benefits
Comprehensive medical, dental, vision, life, and disability insurance.
Fully paid parental leave for all new parents, including adoptive and surrogate journeys.
Financial support for family planning.
Paid time off when you need it, relocation support, and more perks that optimize your time.
Lunch and dinner are provided daily.
Regular off-sites and team celebrations.
Company
Reflection AI
Frontier open intelligence accessible to all. Our team previously built frontier LLMs at labs like DeepMind, OpenAI, and Anthropic.
11-50 employees
H1B Sponsorship
Reflection AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (5)
Funding
Current Stage
Early StageCompany data provided by crunchbase