Software Development Engineer (SDE) – ML Systems / Accelerator Performance

Software Development Engineer – ML Systems / Accelerator PerformanceLocation: Seattle, WA preferred; Boston, MA acceptableExperience: 3+ yearsUS Citizens or Green Card holders only.W-2 contract only.No C2C or sponsorship.Role OverviewWe are seeking a Software Development Engineer with strong systems programming experience and exposure to machine learning workloads. The engineer will work on performance-critical ML systems, accelerator programming, profiling, and optimization of compute-intensive workloads.Candidates with Software Engineering or Applied Science backgrounds are encouraged to apply.Required QualificationsBachelor's degree in Computer Science, Electrical Engineering, or related field, or equivalent practical experience.3+ years of systems-level software development experience.Strong programming skills in Python and C/C++.Hands-on experience with CUDA, Triton, Pallas, or equivalent accelerator/GPU programming models.Experience profiling and optimizing compute-intensive workloads.Strong understanding of performance, memory, and system-level optimization.Preferred QualificationsExperience working with machine learning training or inference systems.Experience optimizing workloads for GPU/TPU/AI accelerators.Background in Applied Science, ML infrastructure, high-performance computing, or distributed systems.Experience with ML frameworks such as PyTorch or JAX.What We OfferOpportunity to work on large-scale, enterprise systemsFully remote, globally distributed teamCollaborative Agile environmentLong-term project stability and growth opportunities