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LiftoffSenior Staff Software Engineer, Serving
Liftoff seeks a Senior Staff Software Engineer, Serving to join its Accelerate Serving team and build mission-critical ad-serving infrastructure. Liftoff is an AI-powered performance marketing platform…
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About this role
Senior Staff Software Engineer, Serving at Liftoff is a full-time role. Work arrangement: Remote. Location: Applicants in United States only. The listed pay is USD 219,000 - 310,000/yr. It was posted on Oct 1, 2026. This listing is paused and not taking applications at the moment.
Job Description
Liftoff seeks a Senior Staff Software Engineer, Serving to join its Accelerate Serving team and build mission-critical ad-serving infrastructure. Liftoff is an AI-powered performance marketing platform established in 2012 that assists mobile app marketers and publishers with user acquisition, retention, and revenue generation. Operating at a massive scale of more than twelve million requests per second and engaging billions of unique users daily, the company focuses on solving growth challenges in the mobile app ecosystem.
This role centers on designing and operating high-throughput, low-latency services that handle real-time bid requests, execute bidding logic, and interface with ad exchanges. The person in this position will develop GPU-accelerated inference services using TensorRT, optimize end-to-end pipelines to minimize latency, collaborate with machine learning engineers to deploy new model architectures, and manage large feature store fleets. Candidates should possess deep expertise in core Computer Science fundamentals and extensive professional experience in software engineering.
Liftoff operates as a remote-first organization with specific state-level eligibility for full-time remote employment in the United States, alongside physical hubs in Redwood City, Los Angeles, and New York City. Team members are expected to gather in person at least once per quarter for collaborative events, regional meetups, or project discussions. The position offers a competitive compensation package including base salary, equity, health, vision, and dental benefits.
Responsibilities
- Design, build, and operate high-throughput and low-latency services to process real-time bid requests and communicate with ad exchanges
- Enhance the performance, reliability, and scalability of systems handling millions of requests per second under strict latency constraints
- Develop and optimize GPU-powered inference services implementing neural network models through TensorRT
- Profile inference pipelines to remove bottlenecks involving GPU utilization, memory access, batching, serialization, networking, and request handling
- Partner with machine learning engineers to productionize new feature sets and model architectures
- Design and manage large feature store fleets providing rapid access to real-time and precomputed features
- Create benchmarking and performance-analysis tools to evaluate model trade-offs and catch regressions prior to release
- Improve experimentation tooling to support offline training runs, candidate model evaluation, and leaderboards
- Own system changes through their entire lifecycle encompassing design, implementation, testing, deployment, observability, capacity planning, and incident response
Requirements
- Demonstrate strong core Computer Science fundamentals including data structures, algorithms, and system architecture
- Bring 10 or more years of industry experience
- Attend in-person team gatherings at least once per quarter
Qualifications
- Hold an M.S. or higher degree in Computer Science or possess equivalent work experience
- Possess experience working with Go
Core Skills
Benefits
- Equity compensation
- Health, vision, and dental benefits corresponding to the country of residence
- Wellness stipends and additional perks based on residency location
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the employment type for this position?
This is a full-time position.
Can this role be performed remotely?
Yes, this role is eligible for full-time remote work within approved US entities, which include CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA. Employees are expected to attend in-person team gatherings at least once per quarter.
What is the salary range for this job?
Base compensation ranges from $219,000 to $310,000 per year, varying by the candidate's specific location and experience.
What are the core educational requirements?
Candidates must have an M.S. or higher degree in Computer Science, or equivalent work experience, along with 10+ years of industry experience.
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