Magic (magic.dev)

Magic’s mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. We believe the most promising path to safe AGI lies in automating research and code generation to improve models and solve alignment more reliably than humans can alone. Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal. About the role: As a Software Engineer on our Supercomputing Platform & Infrastructure team, you will design and build resilient and optimized solutions for AI workloads on massive computing clusters. What you might work on: Work closely with the training and inference teams to deliver high performance and reliability across storage, networking, and distributed computing designs Build the software stack to run massive-scale (thousands of GPUs), highly available supercomputing infrastructure Troubleshoot and resolve complex issues across hardware accelerated devices, networking, storage subsystems (local NVMe/Block Storage/NFS), OS, drivers and cloud environments, and automate detection and recovery processes Operate data-intensive workloads at petabyte-scale Increase the ease-of-use and self-serviceability of the compute platforms at Magic through top-notch documentation and developer workflow design Investigate and resolve incidents across security and availability What we’re looking for: Experience working with production GPU deployments, data-intensive applications, large-scale model training and HPC Strong understanding of networking, storage, and data-related technologies Experience with GCP, AWS, Azure, OCI or similar cloud platforms Strong software engineering skills Strong IaC knowledge with extensive experience in Terraform, Pulumi, AWS CDK/CloudFormation or similar Magic strives to be the place where high-potential individuals can do their best work. We value quick learning and grit just as much as skill and experience. Compensation, benefits, and perks (US): Annual salary range between $200K - $550K depending on experience Equity is a significant part of total compensation, in addition to salary 401(k) plan with 6% salary matching Generous health, dental and vision insurance for you and your dependents Unlimited paid time off Visa sponsorship and relocation stipend to bring you to SF, if possible A small, fast-paced, highly focused team Our culture: Integrity. Words and actions should be aligned Hands-on. At Magic, everyone is building Teamwork. We move as one team, not N individuals Focus. Safely deploy AGI. Everything else is noise Quality. Magic should feel like magic

Magic’s mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. We believe the most promising path to safe AGI lies in automating research and code generation to improve models and solve alignment more reliably than humans can alone. Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal. About the role: As a Kernel Engineer, you will design, implement, and maintain high-performance kernels to optimize throughput and latency during training and inference. Magic's long-context windows create distinct kernel optimization challenges around memory utilization, data movement, and sustained throughput. Shared expectations Design and implement kernels that support high-performance long-context behavior Ownership of kernel design, implementation, deployment, and production reliability Focus on robustness, extensive testing, and functional correctness, while pushing on performance Strong depth over shallow breadth: for kernel engineering, we prefer candidates with deep expertise in computer architecture, low-level machine optimizations, and code generation, with breadth across ML What you might work on: Design, develop and optimize custom high-performance GPU kernels Evaluate porting Magic’s compute kernels to alternative hardware options Co-design kernel with understanding and interaction with training, inference, and RL teams For a sample of our work, see Magic-Attention, presented at GTC 2026 What we’re looking for: Low-level programming experience targeting AI accelerators such as NVIDIA Blackwell or Google TPUs Develop and optimize GPU kernels in frameworks such as NCCL , MSCCLPP , CUTLASS , CuTeDSL , Triton , Quack , Flash-Attention , and similar frameworks Experience in other kernel authoring frameworks such as Pallas /Mosaic ( GPU or TPU ), or Mojo also maps well to the work on Magic's kernel team Agility, ownership mindset, and grit Magic strives to be the place where high-potential individuals can do their best work. We value quick learning and grit just as much as skill and experience. Compensation, benefits and perks (US): Annual salary ranges between $225K - $550K based on experience Equity is a significant part of total compensation, in addition to salary 401(k) plan with 6% salary matching Generous health, dental and vision insurance for you and your dependents Unlimited paid time off Visa sponsorship and relocation stipend to bring you to SF, if possible A small, fast-paced, highly focused team Our culture: Integrity. Words and actions should be aligned Hands-on. At Magic, everyone is building Teamwork. We move as one team, not N individuals Focus. Safely deploy AGI. Everything else is noise Quality. Magic should feel like magic