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 artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real 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 Stack AV'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 onboarding, serving APIs, 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, enterprise-grade inference workloads. ) and developer SDKs that abstract complex distributed inference orchestration into seamless, reliable token streams. Build and harden a multi-tenant control plane to enable accurate metering, rate limiting, quotas, tenant isolation and noisy-neighbor fairness across the platform.

Optimize inference performance across the entire system stack, including the model engine layer. Build observability and SLOs to gain 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, capacity planning, external API contracts and customer adoption.

Decompose ambiguous work, drive issues to closure, and raise the engineering bar through code quality, reviews, testing, and mentoring.

Qualifications

: Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related 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-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.

) 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.

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 believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity. Check out our Privacy Policy.

Requirements

, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related

. As such, this position may be contingent upon Stack AV

Senior Software Engineer, Machine Learning Inference Platform