Pangleglobal
Software Engineer Graduate (Inference Infrastructure) - 2026 Start (PHD)
Pangleglobal, Seattle, Washington, us, 98127
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
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Team: Technology
Employment Type: Regular
Job Code: A106384
Share this listing:
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
#J-18808-Ljbffr