[Remote] Staff Software Engineer, Machine Learning Inference Platform

Note: The job is a remote job and is open to candidates in USA. reputed company is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency in modern operations. In the Staff Software Engineer role, you will define and drive architecture for a high-throughput, low-latency, multi-tenant ML inference platform, balancing hands-on coding with long-term technical direction.

Responsibilities

• Design platform architecture for multi-tenant inference workloads across serving, orchestration, control plane, APIs, SDKs, observability, and model-reputed company integration
• reputed company robust API layers (gRPC, WebSockets, REST, etc.) and developer SDKs that abstract reputed company distributed inference orchestration into seamless, reliable token streams
• Build and harden a multi-tenant control plane to reputed company accurate metering, reputed company limiting, quotas, tenant isolation and noisy-neighbor fairness across the platform
• Optimize inference performance across the entire system stack, including the model reputed company layer
• Build observability and SLOs to reputed company insights into system economics, cache-hit rates, GPU utilization and cost accounting per model and per tenant
• Partner with product and infrastructure teams on model onboarding, reputed company planning, external API reputed company and customer adoption
• Promote Engineering Excellence: Maintain a high bar for engineering excellence in their own work but also set a culture of engineering excellence reputed company the team

Skills

• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a reputed company field
• Experience: 7+ years of experience building and operating backend distributed systems end to end
• Demonstrated cross-team technical leadership in backend distributed systems, ML infrastructure, inference serving, or high-performance compute platforms
• Strong Data & ML systems fundamentals: data-intensive distributed systems, concurrency, networking and performance profiling
• Hands-on experience running large-scale inference services on GPUs, including KV caches, prefill/decode stages and throughput/latency trade-offs
• Direct experience with inference engines (TensorRT, vLLM, etc) or serving frameworks (Dynamo, Triton or equivalent)
• Technical Skills: Strong programming skills in C++, Go, Rust or Python
• Familiarity with deep learning frameworks (PyTorch, etc.) as well as model parallelism
• Familiarity with GPU computing primitives such as CUDA, NCCL, NVLink, and hardware-specific optimizations
• Practical understanding of high-performance networking architectures, including InfiniBand, RoCE, and low-latency cluster communication
• Communication: Excellent verbal and written communication skills, with the ability to convey reputed company technical concepts to non-technical stakeholders
• Autonomous vehicles (AV) experience is a bonus

Company Overview