Senior Staff Software Engineer, Serving

Accountabilities:

• Design, build, and operate high-throughput, low-latency services that process bid requests, execute real-time bidding logic, and respond to ad exchanges.
• Improve the performance, scalability, and reliability of systems handling millions of requests per second while operating within strict latency requirements.
• Develop and optimize GPU-powered inference services using TensorRT to efficiently execute neural network models in production.
• Profile complete inference pipelines and identify opportunities to optimize GPU utilization, batching, memory access, serialization, networking, and request handling.
• Partner with machine learning engineers to productionize new model architectures and features, translating modeling requirements into efficient, reliable serving implementations.
• Design and operate large-scale feature store fleets providing low-latency access to real-time and precomputed features.
• Build benchmarking and performance-analysis tools that enable engineers to compare models, evaluate latency and throughput trade-offs, and detect performance regressions before deployment.
• Improve experimentation infrastructure that supports offline training runs, candidate model evaluation, and model leaderboards.
• Own engineering changes throughout their complete lifecycle, including system design, implementation, testing, deployment, observability, capacity planning, incident response, and ongoing optimization.

Requirements:

• 10+ years of professional software engineering experience, with a strong track record working on complex, large-scale systems.
• Strong Computer Science fundamentals, including data structures, algorithms, distributed systems, and system architecture.
• M.S. or higher in Computer Science or a related field, or equivalent professional experience.
• Strong ability to design and operate highly scalable, reliable, and performance-sensitive production systems.
• Experience working with machine learning infrastructure, model serving, inference systems, or other high-performance computing environments is highly valuable.
• Strong analytical and performance-engineering skills, with the ability to identify bottlenecks and optimize systems across multiple layers of the stack.
• Ability to collaborate effectively with machine learning engineers and other technical teams to translate research and modeling requirements into production-ready systems.
• Experience with Go is a plus.
• Comfortable taking ownership of technically complex projects from architecture and implementation through production operations and continuous improvement.

Benefits:

• Full-time remote work available across approved US states, including CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA.
• Competitive base salary based on location and experience.
• Base salary of $255,000–$310,000 for the San Francisco Bay Area, New York City, and Los Angeles/Orange County.
• Base salary of $234,000–$285,000 for Seattle/Olympia, Austin, San Diego, Santa Barbara, and Boston.
• Base salary of $219,000–$266,000 for other cities and towns within approved states.
• Equity as part of the overall compensation package.
• Health, vision, and dental benefits based on country of residence.
• Potential additional benefits such as wellness stipends and other location-specific perks.
• Remote-first work environment with opportunities for in-person project meetings, regional meetups, and company-wide gatherings.
• Expected participation in in-person team gatherings at least once per quarter to support collaboration, communication, and team building.