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Senior GPU System Engineer - San Jose

California, United States (On-site)

Senior GPU System Engineer - San Jose

1 Week ago • 3 Years + • Research & Development

About the job

Summary_{By Outscal}

8 skills required for this role

Boost these skills to join the top 1% applicants for this job

Must have:

Strong computer architecture/system knowledge
3+ years performance optimization experience
Familiar with data structures and algorithms
C/C++ programming language proficiency
Passion for computer systems/architecture
Problem solving and debugging skills

Good to have:

Master's degree or PhD in Engineering, Computer Science, or related technical field
Experience with machine learning model inference and training (Nvidia/AMD GPU hardware)
Experience with CUDA, OpenCL, GPU performance profiling and tuning
Experience with AI accelerator software-hardware co-design, architecture performance modeling
Experience with ML frameworks (PyTorch, Tensorflow, or JAX) and performance optimization techniques

Perks:

100% premium coverage for employee medical insurance
75% premium coverage for dependents
Health Savings Account (HSA) with company match
Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans
Flexible Spending Account (FSA) Options
10 paid holidays per year
17 days of Paid Personal Time Off (PPTO)
10 paid sick days per year
12 weeks of paid Parental leave
8 weeks of paid Supplemental Disability
Mental and emotional health benefits through EAP and Lyra
401K company match
Gym and cellphone service reimbursements

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Responsibilities

About ByteDance Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Why Join Us Creation is the core of ByteDance's purpose. Our products are built to help imagination thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. About the Team ByteDance System Technology & Engineering team has been committed to the research and engineering development in the basic technology fields, such as operating system kernel and virtualization, construction and performance optimization of basic system software and library, stability and reliability assurance of large-scale data center, collaborative design of next-generation general-purpose&heterogeneous hardware and software, etc. Armed with comprehensive and solid software engineering capabilities, the team aims to guarantee day-to-day business operations of ByteDance Inc. Meanwhile, the team actively follows the new technology trend, and embraces open source communities and industry standards. Responsibilities - Analyze performance and reliability requirements of AI/ML workloads/systems for the rapidly evolving server architecture - Apply system software/compiler implementation and performance optimization techniques to optimize them to improve ByteDance products and user experiences - Apply in depth knowledge of how the machine learning system interacts with the other systems or software components around it (like kernel, networking, compiler, libraries, etc) , partner with teams across ByteDance and vendors to customize the AI/ML accelerator architecture, optimize the computation software.

Qualifications

Minimum Qualifications - Bachelor's degree or equivalent practical experience - Strong computer architecture/system knowledge with 3 years performance optimization experience - Familiar with commonly used data structure and algorithms, C/C++ programming language - Have a passion for computer system/architecture, and high performance extensible software - Ability to work well in a team and be productive under demanding schedules - Very strong problem solving and debugging skills Preferred Qualifications - Master’s degree or PhD in Engineering, Computer Science, or a related technical field - Experience with machine learning model inference and training, especially on Nvidia/AMD GPU hardware - Experience with CUDA, OpenCL, GPU performance profiling and tuning - Experience with AI accelerator software-hardware co-design , architecture performance modeling - Experience with ML frameworks, such as PyTorch, Tensorflow or JAX, especially performance optimization techniques inside them About ByteDance ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. ByteDance Inc. 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://shorturl.at/cdpT2

Job Information

【For Pay Transparency】Compensation Description (annually)

The base salary range for this position in the selected city is $194000 - $355000 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.​
Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees: ​
We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care. ​
Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability. ​
We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.​
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; and​
3. Exercising sound judgment.​