Software Engineer Graduate (AML-Engine-Orchestration) - 2027 Start (PhD)

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of products including TikTok, Lemon8, CapCut, Pico, Toutiao, Douyin, and Xigua, ByteDance makes it easier and more fun for people to connect with, consume, and create content.

ByteDance's innovative products help people authentically express themselves, discover, and connect. The company values curiosity, humility, and impact, fostering an "Always Day 1" mindset to achieve meaningful breakthroughs.

Responsibilities

The Data-AML-Engine Orchestration team builds large-scale machine learning infrastructure that powers online model serving across ByteDance products, including TikTok. You will work on systems that directly affect GPU utilization, serving latency and availability, infrastructure reliability, and MLE productivity.

• Design and build foundational orchestration capabilities for machine learning platforms, including Kubernetes Operators, container runtimes, and lifecycle management for jobs, services, and stateful workloads.
• Build multi-tenant resource and quota systems that support priorities, preemption, fair sharing, elasticity, and cross-cluster scheduling.
• Improve GPU utilization and cost efficiency through resource pooling and FinOps.
• Build lifecycle orchestration for online model serving, including model and image distribution, deployment, upgrades, rollback, autoscaling, multi-cluster operation, and disaster recovery.
• Build serving orchestration and traffic management capabilities for disaggregated serving clusters, including topology-aware scheduling, KV Cache affinity, intelligent request routing, and QoS/SLA management.

Depending on your background and interests, you may focus on one or more of these areas. Successful candidates must commit to an onboarding date by the end of the year.

Qualifications

Minimum Qualifications

• Individuals completing or who have recently completed a PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.
• Proficiency in at least one of Go, C++, or Python, with a solid foundation in data structures, algorithms, and software engineering principles.
• Familiarity with Linux and foundational understanding of operating systems, computer networks, concurrent programming, and distributed systems.
• Strong hands-on and exploratory abilities, with a willingness to investigate systems through source code, metrics, logs, profiling, and experiments.
• A systematic and quantitative approach to problem solving, with the ability to define measurements, test hypotheses, and validate system improvements.
• Demonstrated ownership and collaboration through coursework, research, internships, open-source contributions, or other engineering projects.

Preferred Qualifications

• Experience with Kubernetes, container runtimes, resource scheduling, quota management, multi-tenant systems, or FinOps.
• Contributions to open-source infrastructure projects such as Kubernetes, Volcano, Koordinator, or OpenKruise.
• Experience with model serving systems such as vLLM, SGLang, Triton, KServe, or Ray Serve, or understanding of KV Cache, Continuous Batching, Prefill/Decode disaggregation, or model parallelism.
• Experience with online services, gateways, traffic management, autoscaling, performance optimization, or highly available distributed systems.
• Experience with GPU/NPU programming, heterogeneous resource scheduling, model distribution, or inference performance analysis.

Pay

The base salary range for this position is $162,000 - $316,800 annually. Compensation may vary based on qualifications, skills, experience, and location. This role may also be eligible for additional discretionary bonuses, incentives, and restricted stock units.

Benefits

• Day one access to medical, dental, and vision insurance.
• 401(k) savings plan with company match.
• Paid parental leave, short-term and long-term disability coverage, and life insurance.
• Wellbeing benefits.
• 10 paid holidays per year.
• 10 paid sick days per year.
• 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).