Our Mission
Reflections mission is to build open superintelligence and make it accessible to all.
Were developing open weight models for individuals agents enterprises and even nation states. Our team of AI researchers and company builders come from DeepMind OpenAI Google Brain Meta Anthropic and beyond.
About the Role
Design build and operate Reflections 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.
About You
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 worlds most capable open-weight AI systems.
What We Offer:
We believe that to build superintelligence that is truly open you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company and help define the frontier of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
Health & wellness: Comprehensive medical dental vision life and disability insurance.
Life & family: Fully paid parental leave for all new parents including adoptive and surrogate journeys. Financial support for family planning.
Benefits & balance: paid time off when you need it relocation support and more perks that optimize your time.
Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.
Required Experience:
Staff IC
Our MissionReflections mission is to build open superintelligence and make it accessible to all.Were developing open weight models for individuals agents enterprises and even nation states. Our team of AI researchers and company builders come from DeepMind OpenAI Google Brain Meta Anthropic and bey...
Our Mission
Reflections mission is to build open superintelligence and make it accessible to all.
Were developing open weight models for individuals agents enterprises and even nation states. Our team of AI researchers and company builders come from DeepMind OpenAI Google Brain Meta Anthropic and beyond.
About the Role
Design build and operate Reflections 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.
About You
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 worlds most capable open-weight AI systems.
What We Offer:
We believe that to build superintelligence that is truly open you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company and help define the frontier of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
Health & wellness: Comprehensive medical dental vision life and disability insurance.
Life & family: Fully paid parental leave for all new parents including adoptive and surrogate journeys. Financial support for family planning.
Benefits & balance: paid time off when you need it relocation support and more perks that optimize your time.
Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.
Required Experience:
Staff IC
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