Software Engineer Graduate (Inference Infrastructure) - 2026 Start (PHD)

Pangleglobal; Seattle (WA); On-site; USD 129,960 - 246,240; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) savings plan with company match

Paid parental leave

Paid holidays and sick days

Job summary

A leading technology firm in Seattle is seeking a Software Engineer Graduate for a 2026 start to design and build cutting-edge cloud and AI infrastructures. The role offers a competitive salary range of $129,960 - $246,240 annually. Candidates are expected to have a solid academic background and hands-on experience with cloud and ML platforms. Benefits include comprehensive insurance plans and generous paid time off.

Qualifications

• Bachelor's or Master's degree in Computer Science or closely related field with strong experience required.
• Proven hands-on experience with cloud or ML infrastructure projects.
• Solid grasp of container and orchestration technologies essential.

Responsibilities

• Design and build large-scale container management systems.
• Collaborate on delivering world-class inference solutions.
• Write production-ready code ensuring quality and scalability.

Skills

Large model inference

Distributed systems

High-performance networking

Cloud infrastructure

Programming (Go, Rust, Python, C++)

Container technologies (Docker, Kubernetes)

Education

B.S./M.S. in Computer Science or related fields

Tools

Kubernetes

Ray

CUDA

Job description

Software Engineer Graduate (Inference Infrastructure) - 2026 Start (PHD)

Location: Seattle

Team: Technology

Employment Type: Regular

Job Code: A106384

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Responsibilities

• Design and build large‑scale, container‑based cluster management and orchestration systems with extreme performance, scalability, and resilience.
• Architect next‑generation cloud‑native GPU and AI accelerator infrastructure to deliver cost‑efficient and secure ML platforms.
• Collaborate across teams to deliver world‑class inference solutions using vLLM, SGLang, TensorRT‑LLM, and other LLM engines.
• Stay current with the latest advances in open source (Kubernetes, Ray, etc.), AI/ML and LLM infrastructure, and systems research; integrate best practices into production systems.
• Write high‑quality, production‑ready code that is maintainable, testable, and scalable.

Qualifications

Minimum Qualifications

• B.S./M.S. in Computer Science, Computer Engineering, or related fields with 2+ years of relevant experience (Ph.D. with strong systems/ML publications also considered).
• Strong understanding of large model inference, distributed and parallel systems, and/or high‑performance networking systems.
• Hands‑on experience building cloud or ML infrastructure in areas such as resource management, scheduling, request routing, monitoring, or orchestration.
• Solid knowledge of container and orchestration technologies (Docker, Kubernetes).
• Proficiency in at least one major programming language (Go, Rust, Python, or C++).

Preferred Qualifications

• Experience contributing to or operating large‑scale cluster management systems (e.g., Kubernetes, Ray).
• Experience with workload scheduling, GPU orchestration, scaling, and isolation in production environments.
• Hands‑on experience with GPU programming (CUDA) or inference engines (vLLM, SGLang, TensorRT‑LLM).
• Familiarity with public cloud providers (AWS, Azure, GCP) and their ML platforms (SageMaker, Azure ML, Vertex AI).
• Strong knowledge of ML systems (Ray, DeepSpeed, PyTorch) and distributed training/inference platforms.
• Excellent communication skills and ability to collaborate across global, cross‑functional teams.
• Passion for system efficiency, performance optimization, and open‑source innovation.

Job Information

The base salary range for this position in the selected city is $129,960 - $246,240 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short‑term and long‑term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Legal Information

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. We are passionate about celebrating diverse voices and fostering an environment that reflects the many communities we reach.

Reasonable Accommodation

ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request