Search for Hardware/Software Co-Design Engineer roles in San Francisco with a focus on GPU and AI accelerators, requiring 4+ years of experience, full-time positions, and experience with CUDA.

Okay, I've searched for Hardware/Software Co-Design Engineer roles in San Francisco that focus on GPU and AI accelerators. The positions require at least 4 years of experience, are full-time, and involve experience with CUDA. I've found 35 positions for you.

Hardware/Software Co-Design Engineer

San Francisco, CA

4 years + Experience

Full Time

CUDA

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Hardware/Software Co-Design Engineer role at OpenAI is fundamentally about innovating in hardware design to maximize the efficiency of machine learning workloads, emphasizing collaboration across various technical teams. The core responsibility involves co-designing scalable hardware solutions with external vendors, requiring a blend of technical acuity in both hardware design and software programming optimizations. The ideal candidate will face challenges balancing performance requirements with the intrinsic limitations of hardware while also advocating for OpenAI's specific needs during the optimization process. Success in this role will hinge on an engineer's ability to translate complex requirements across diverse teams into actionable plans, thereby significantly advancing OpenAI's research capabilities in artificial intelligence. This role will need strategic foresight in hardware development aligned with the company’s mission, nurturing relationships with partners, and influencing the trajectory of new hardware projects for effective training and inference of AI models.

Company Analysis:

OpenAI positions itself as a leader in the AI research space, focused on developing safe, beneficial AGI solutions that cater to societal needs. Within this context, the Hardware/Software Co-Design Engineer role is critical, as the company looks to scale its technology while maintaining alignment with its ethical values. The company's emphasis on innovation and collaboration underscores a dynamic and rapidly evolving work culture, likely fostering a fast-paced environment where experimentation and breakthroughs are encouraged. This position is likely situated within a cross-functional team that includes strong visibility and interaction with other engineering units and senior management, emphasizing OpenAI's collaborative nature. Given OpenAI's broader mission to democratize AI benefits, the role also aligns strategically with goals of optimizing hardware solutions to empower artificial intelligence applications that have the potential to solve global challenges. This integration of technical expertise with a purpose-driven mission reinforces the importance of candidates embracing OpenAI's ethos of diversity, equity, and inclusion as they contribute to the company’s ambitious objectives.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Behavioral Questions:
1. Tell me about a time when you had to collaborate with different engineering teams to meet a project goal. What challenges did you face, and how did you overcome them?
1. Describe an experience where your input influenced a key hardware decision. How did you advocate for your recommendations?
1. Can you provide an example of a project where you had to optimize hardware for specific machine learning tasks? What was your approach?
1. Share a situation where you had to manage potential conflicts with stakeholders or team members. How did you handle the conflict?
Technical/Role-Specific Questions:
1. How would you approach optimizing hardware for deep learning workloads? What specific metrics would you focus on?
1. What techniques do you utilize for performance estimation of hardware accelerators?
1. Explain your experience with CUDA or a related programming language. Can you describe a project where you applied this knowledge?
1. Discuss your understanding of memory hierarchies and how they impact hardware performance in AI computing.
Situational Questions:
1. Imagine you are presented with a new hardware platform from a vendor that does not fully meet the training needs of our AI models. How would you address this situation?
1. If tasked with leading a presentation to hardware vendors about optimizing for OpenAI’s workloads, what key points would you emphasize?
Company Fit/Motivation Questions:
1. What aspects of OpenAI's mission resonate most with you, and how do you see your experience contributing to this mission?
1. Why do you believe diversity and inclusion are important in a tech-focused role like this one?
Questions for the Candidate to Ask the Interviewer:
1. Can you share more about the specific projects the hardware team is currently focusing on?
1. How does OpenAI measure the success of its hardware optimization initiatives in relation to its AI research?

Job Details

Overview Company

Hardware/Software Co-Design Engineer

OpenAI

2 months ago

Highlight

HybridFull-time4+ yearsMid

Summary

OpenAI is seeking a Hardware/Software Co-Design Engineer to join their team in San Francisco, CA. The role involves co-designing future hardware for programmability and performance, working with hardware vendors, and optimizing hardware for OpenAI's workloads.

About the Role

As an Engineer on the Hardware Team, you will co-design future hardware from different vendors for programmability and performance. You will work with kernel, compiler, and machine learning engineers to understand their needs and evangelize these constraints with vendors to develop future hardware architectures. Responsibilities include co-designing hardware, assisting vendors in developing optimal kernels, developing performance estimates, managing communication with partners, and influencing hardware roadmaps.

About You

Required:

4+ years of industry experience, including experience harnessing compute at scale or building semiconductors.
Strong experience in software/hardware co-design.
Deep understanding of GPU and/or other AI accelerators.
Experience with CUDA or a related accelerator programming language.
Experience driving Machine Learning accuracy with low precision formats.
Experience aligning future hardware with a well-established HPC infrastructure.
Familiarity with the fundamentals of deep learning computing and chip microarchitecture.
Ability to actively collaborate with ML engineers, kernel writers, and compiler developers.

Preferred:

PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing, Compilers, or other Systems.
Strong coding skills in C/C++ and Python.
Strong understanding of LLMs and challenges related to their training and inference.

OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit.

To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership.

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

San Francisco, CA