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Liftoff LLCSenior Staff Software Engineer, Serving
Liftoff LLC is seeking a Senior Staff Software Engineer to join its Accelerate Serving team. Liftoff operates an AI-powered performance marketing platform that addresses mobile app…
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About This Role
Liftoff LLC is seeking a Senior Staff Software Engineer to join its Accelerate Serving team. Liftoff operates an AI-powered performance marketing platform that addresses mobile app growth by connecting users with applications through machine learning and big data technology. The serving infrastructure handles immense traffic volumes, processing over 12 million requests every second and interacting with more than 5 billion unique daily users. In this role, the engineer will create…
Job Description
Liftoff LLC is seeking a Senior Staff Software Engineer to join its Accelerate Serving team. Liftoff operates an AI-powered performance marketing platform that addresses mobile app growth by connecting users with applications through machine learning and big data technology. The serving infrastructure handles immense traffic volumes, processing over 12 million requests every second and interacting with more than 5 billion unique daily users.
In this role, the engineer will create and manage high-throughput, low-latency services that process bid requests, execute bidding logic, and communicate with ad exchanges in real time. The position requires managing the full lifecycle of system changes, encompassing design, implementation, testing, deployment, observability, capacity planning, and incident response.
This position is eligible for full-time remote work within specific U.S. states, including CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA. Employees are expected to travel for in-person team gatherings at least once per quarter. Depending on the candidate's geographic location, the base salary ranges from $219,000 to $310,000 per year, accompanied by equity and health, dental, and vision benefits.
Responsibilities
- Design, build, and operate high-throughput and low-latency services that handle bid requests, execute bidding logic, and respond to ad exchanges in real time
- Enhance the performance, scalability, and reliability of systems handling millions of requests per second under strict latency constraints
- Develop and optimize GPU-powered inference services utilizing TensorRT for neural network model execution
- Profile end-to-end inference pipelines to find and resolve bottlenecks related to GPU utilization, batching, memory access, serialization, networking, and request handling
- Collaborate with machine learning engineers to productionize new feature sets and model architectures
- Design and operate large feature store fleets providing low-latency access to real-time and precomputed features
- Create benchmarking and performance-analysis tooling to evaluate models, analyze trade-offs, and spot regressions prior to deployment
- Improve experimentation tooling for machine learning teams to manage offline training runs, assess candidate models, and maintain leaderboards
- Own modifications through their complete lifecycle from initial design to continued optimization
Requirements
- Strong core Computer Science fundamentals covering data structures, algorithms, and system architecture
- At least 10 years of industry experience
- Master of Science or higher in Computer Science, or equivalent practical work experience
Qualifications
- Experience with Go
Core Skills
Benefits
- Equity compensation
- Health, dental, and vision benefits tailored to the country of residence
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the remote work policy for this position?
This role is eligible for full-time remote work in approved states including 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 the Senior Staff Software Engineer role?
Base compensation varies by location and experience. The salary ranges from $255,000 to $310,000 in the SF Bay Area, NYC, and Los Angeles/Orange County; $234,000 to $285,000 in Seattle/Olympia, Austin, San Diego, Santa Barbara, and Boston; and $219,000 to $266,000 in all other approved locations.
What experience is required to apply?
Candidates must have 10 or more years of industry experience, strong core Computer Science fundamentals in data structures, algorithms, and system architecture, and an M.S. or higher in Computer Science or equivalent work experience.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.