Senior Staff Software Engineer, Serving

Bazeta; Northern (KY); Hybrid; USD 219,000 - 266,000; Full time

Job summary

Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. As a Senior Staff Software Engineer on the Serving team, you will design, build, and operate high-throughput, low-latency services that receive bid requests and respond to ad exchanges in real time, while optimizing GPU-powered inference pipelines.

You will own changes through design, implementation, testing, deployment, observability, and capacity planning, collaborating with ML engineers to productionize

Qualifications

• Strong CS fundamentals: data structures, algorithms, system design.
• 10+ years of industry experience.
• MS or higher in Computer Science (or equivalent).
• Go experience is a plus.

Responsibilities

• Design, build, and operate high-throughput, low-latency services for real-time bids.
• Improve performance, scalability, and reliability of systems processing millions of requests per second.
• Develop and optimize GPU-powered inference services using TensorRT.
• Profile end-to-end inference pipelines to identify bottlenecks in GPU utilization and memory access.
• Collaborate with ML engineers to productionize model architectures and features.

Skills

System design

Algorithms

Data structures

Distributed systems

Go experience

Education

MS in Computer Science or equivalent

Tools

Go

TensorRT

Job description

# Senior Staff Software Engineer, ServingUnited States9 hours agoID 1185189Price on request## DetailsEmployment type: Full-timeRemote: YesCompany: LiftoffLevel: Senior## DescriptionLiftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand. Liftoff’s solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence. At Liftoff, we’re solving one of the core problems faced by every mobile app: growth. To do so, we build Machine Learning and Big Data-driven technology that can accurately predict which apps a user will like, and connect them in a compelling way. Our systems operate at a scale unseen outside of the largest Internet companies -- processing over 12 million requests per second and interacting with over 5 billion unique users each day. The Serving team builds and maintains the mission-critical infrastructure responsible for serving ads across Liftoff’s product line. As an engineer on Liftoff’s Accelerate Serving team, you will: • Design, build, and operate the high-throughput, low-latency services that receive bid requests, execute Liftoff’s bidding logic, and respond to ad exchanges in real time. • Improve the performance, scalability, and reliability of systems that process millions of requests per second under strict latency constraints. • Develop and optimize GPU-powered inference services that execute neural network models using TensorRT. • Profile end-to-end inference pipelines to identify and eliminate bottlenecks in 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 and reliable serving implementations. • Design and operate large feature store fleets that provide low-latency access to real-time and precomputed features. • Develop benchmarking and performance-analysis tools that help engineers compare models, understand latency and throughput trade-offs, and identify regressions before deployment. • Improve experimentation tooling that allows machine learning teams to orchestrate offline training runs, evaluate candidate models, and maintain model leaderboards. • Own changes through their full lifecycle—from system design and implementation to testing, deployment, observability, capacity planning, incident response, and continued optimization. Requirements: • Strong core Computer Science fundamentals (data structures, algorithms, system architecture) • 10+ years of industry experience • M.S.. or higher in Computer Science (or equivalent work experience) • Experience with Go is a plus Location: This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City. Travel Expectations: We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building. Compensation: Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on the candidate's location and experience. The following are our base salary ranges for this role: • SF Bay Area, NYC, Los Angeles/Orange County : $255,000 - $310,000 • Seattle/Olympia, Austin, San Diego, Santa Barbara, Boston: $234,000 - $285,000 • All other cities and towns in our approved states: $219,000 - $266,000 #LI-EL1 Liftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We’re shaping the future of the mobile app ecosystem—join us and help accelerate what’s next.