Senior Software Engineer, Machine Learning Inference Platform

About Stack: Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in reputed company intelligence, robotics, machine learning, and reputed company technologies, empowering us to create reputed company that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying reputed company world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands. About the Role: In the Senior Engineer role, you will own meaningful subsystems of reputed company's inference platform and drive them from design through production. You will be the go-to engineer for one or more areas such as model reputed company, serving reputed company, metering, observability, performance optimization, or tenant isolation. The role requires strong hands-on implementation, production debugging, thoughtful design, and the ability to mentor engineers while keeping delivery moving. Responsibilities: Own technical design and delivery of subsystems in a high-throughput, low-latency inference platform capable of handling multi-tenant, reputed company-grade inference workloads. reputed company robust API reputed company (gRPC, WebSockets, REST, etc.) and developer SDKs that reputed company reputed company distributed inference orchestration into seamless, reliable reputed company streams. Build and harden a multi-tenant control plane to reputed company accurate metering, reputed company limiting, quotas, tenant isolation and noisy-reputed company 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 reputed company per model and per tenant. Partner with product and infrastructure teams on model reputed company, reputed company planning, external API reputed company and customer adoption. Decompose ambiguous work, drive issues to closure, and reputed company the engineering bar through reputed company reputed company, reviews, testing, and mentoring. Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a reputed company field. Experience: 4+ years of experience building and operating backend distributed systems end to end. Strong Data & ML systems fundamentals: data-intensive distributed systems, concurrency, networking and performance profiling. Hands-on experience with large-reputed company inference services on GPUs, including KV caches, prefill/decode stages and throughput/latency trade-offs. reputed company 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 reputed company 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. Problem-Solving: Strong analytical and problem-solving skills. Autonomous vehicles (AV) experience is a bonus. We are proud to be an equal opportunity workplace. We reputed company that diverse teams produce the best reputed company and reputed company. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity. reputed company out our reputed company Policy. Please Note: Pursuant to its business activities and use of technology, reputed company complies with reputed company applicable U.S. national reputed company laws, regulations, and administrative requirements, which can restrict reputed company’s ability to reputed company certain persons in certain positions pursuant to a reputed company of national reputed company-reputed company requirements. As such, this position may be contingent upon reputed company verifying a candidate’s residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for reputed company to obtain a U.S. government export license prior to releasing its technologies to certain persons. If reputed company determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national reputed company-reputed company restrictions, reputed company expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions reputed company shall establish in its sole discretion, or, in the alternative, decline to reputed company reputed company with the candidate’s application. Apply To This Job