Roblox Software Engineer, Reliability at Roblox builds and improves AI/ML systems to scale services and workloads globally. The role involves owning features, fixing performance issues, and collaborating with product and infrastructure teams.
Responsibilities
Own well-scoped features and components inside multi-quarter projects that scale Roblox and make our systems more efficient, from design through production rollout.
Build and improve systems that use AI and ML to scale services and workloads across multiple geographic regions.
Find and fix performance and efficiency problems in production services, such as right-sizing workloads and tuning resource usage, using metrics and profiling data.
Work with product and infrastructure teams to understand their problems and help solve them with software.
Take part in on-call and incident follow-ups, and turn what you learn into lasting reliability improvements.
Qualification
ExperienceCoding skillSystems fundamentalsInterest in performanceCuriosityNice to haveA LearnerA PartnerA Problem SolverDependableA Team Player
Required
Experience: a BS degree (or equivalent professional experience) in Computer Science or a related engineering field, with at least 2 years of experience building backend systems or AI/ML pipelines (internships and research count).
Coding skill: strong proficiency in at least one programming language (e.g., Python, Rust, Go, Java, C#), and you write clean, tested, maintainable code.
Systems fundamentals: a solid grasp of distributed systems concepts (concurrency, networking, caching, load balancing, failure modes), and an interest in going deeper.
Interest in performance: you have profiled, benchmarked, or tuned a service or pipeline and can explain what you changed and why it helped.
Curiosity: you want to know how things work under the hood, and you keep going on hard problems until you understand them.
Nice to have: experience with containers and orchestration (Kubernetes, Nomad), observability tools (Prometheus, Grafana), or applying ML/forecasting to operational data.
A Learner: you take in feedback quickly, look for mentorship, and grow your scope over time.
A Partner: you know the best tools fit into the existing tooling ecosystem. You approach partners with curiosity and work to understand a problem before you start coding.
A Problem Solver: you ask good questions, form hypotheses, and use data to test them.
Dependable: you break your work into milestones, estimate honestly, and keep your team updated on progress and blockers.
A Team Player: you contribute to code reviews, documentation, and shared team goals, and you help make long-running projects succeed.
For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.
