Technology - Infrastructure Global Frontier Tech Recruitment Program - 2027 Grad San Jose Regular

ByteDance; San Jose (CA); On-site; USD 212,800 - 387,600; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) savings plan with company match

Paid parental leave

10 paid holidays per year

17 days of Paid Personal Time

Job summary

ByteDance is seeking a Research Scientist for its AI Infrastructure team in San Jose, California. This role involves developing technologies to enhance AI systems and collaborating with academic institutions. Candidates should possess a PhD in a relevant field with experience in software development and AI. The attractive salary range is $212,800 - $387,600 annually, along with comprehensive benefits including health insurance and paid time off.

Qualifications

• Completing or recently completed a PhD in a relevant technical discipline.
• Commit to proactive continuous learning and enthusiasm for AI technologies.
• Good communication and teamwork skills.

Responsibilities

• Develop key technologies to optimize AI Infra stack.
• Work with academia on joint development.
• Conduct deep-dive analysis on the latest technologies.

Skills

Experience with LLM training infra

Experience with AI agents

Strong communication skills

Teamwork skills

Education

PhD in Software Development, Computer Science, Computer Engineering, Artificial Intelligence

Job description

Research Scientist - Compute AI Infra - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

Location: San Jose

Team: Infrastructure

Employment Type: Regular

Job Code: A45808

Responsibilities

We are looking for talented individuals to join our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our company. Successful candidates must be able to commit to an onboarding date by end of year 2027. Please state your availability and graduation date clearly in your resume.

• Develop key technologies to optimize our AI Infra stack, including training infra, inference infra, and AI agents.
• Work with academia and open source communities on joint development.
• Follow and research the latest technologies from academia or industry and conduct deep-dive analysis.
• Present our research and products in academic papers.

Topic Content

1. Network and Observability: Research intelligent fault localization and root cause analysis for large-scale AI clusters, combined with intelligent tuning of time-series databases to improve cluster stability.
2. Storage Systems: Develop serverless high-performance elastic file systems and storage acceleration architectures specifically for AI scenarios, explore hardware-software co-optimization for DPU, and overcome AI storage performance bottlenecks.
3. Data Center Power Scheduling: Research GPU/CPU/MEM heterogeneous collaborative scheduling technologies, build a heterogeneous power orchestration system for AI agents, and address scheduling challenges including heterogeneous workloads and state dependencies.
4. Vector Retrieval: Optimize core vector retrieval technologies for LLM-powered applications, building a cloud-native distributed vector index engine to meet ultra-large-scale vector retrieval demands with low latency and low cost.
5. Intelligence and Agent Architecture: Explore automatic infrastructure optimization based on AI Agent workflows, build a self-evolvable business agent framework, and enable full-stack intelligent optimization through AI for Infra.

Minimum Qualifications

• Completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, Artificial Intelligence or a related technical discipline.
• Experience with at least one of the following areas:
  • LLM training infra, including optimizations for various post-training workloads such as RL training, knowledge distillation, etc.
  • LLM inference infra, including inference engine performance improvements, more efficient execution parallelism, GPU kernel optimizations, etc.
  • AI Agents and Agent Infra, including coding agents, general-purpose agents, agent memory, agent sandbox, etc.
• Commit to proactive continuous learning, demonstrate enthusiasm for AI technologies, and exhibit a strong ability to quickly grasp and apply new technologies.
• Good communication and teamwork skills.

Preferred Qualifications

• Frequent contributors or maintainers in AI Infra related open source communities such as PyTorch, vLLM or SGLang.
• Having publications in CS conferences such as OSDI or MLSys.

Job Information

The base salary range for this position in the selected city is $212800 - $387600 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

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).

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

Equal Employment Opportunity

For Los Angeles County (unincorporated) Candidates: Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;
3. Exercising sound judgment.