Principal Technical Program Manager, Groq
$226-336k
+ equity
Office located in Mountain View, CA
AI semiconductor chip manufacturer
Be an early applicant
AI semiconductor chip manufacturer
201-500 employees
Be an early applicant
$226-336k
+ equity
Office located in Mountain View, CA
201-500 employees
Company mission
To increase developer velocity in machine learning by leading the way with simple, fast, innovative solutions.
Role
Who you are
- 7+ years of Technical program management in Hardware/ SW System design, AI/ML SW development in AI domains
- B.S. in engineering, computer science or a related technical discipline, or equivalent experience
- Have hands-on experience with either System board design, System Software development, AI/ML SW development
- Demonstrated experience working with external vendors (CM,, etc.), including negotiation of deadlines, holding all parties accountable, etc
- Understanding of AI Software development and data center SW stack
- Experience in managing AI Software product cycle from concept to delivery
- Understanding of hardware and software integration challenges
- Experience with project & program management tools and methodologies (e.g., Agile, Scrum, JIRA)
- Expertise with schedule tools like MS Project or Smartsheet
- Comfortable with ambiguity but actively seek clarity
Desirable
- Extensive experience in System Design, end to end SW development including AI chip development
- Deep Knowledge of AI HW systems design, ML Compiler design, Inference Engine design, Infrastructure SW design
- Knowledge of LLVM and compiler architecture
- Experience with AI data center and cloud markets, technological and business trends, requirements, and ecosystem partners
What the job involves
- Mission: Lead, Plan and execute HW Systems and SW programs at Groq
- We are looking for a talented Technical Program Manager who is well versed in HW-SW co-design and end to end SW development
- Lead Programs: Drive and manage end-to-end projects involving the HW design, System SW, ML Compiler, Inference Engine, Infrastructure SW and larger AI SW stack
- Cross-Functional Coordination: Collaborate with Hardware Systems, Systems SW, product management, operations, and other cross-functional teams to ensure alignment on technical specifications, project goals, and deliverables
- Technical Expertise: Provide deep technical guidance on AI chip architectures, FPGA, interconnects, memory hierarchies, low level Embedded SW, ML Compiler. Inference Engine and Infrastructure SW to optimize performance and efficiency in datacenter deployments
- Communications: Drive communication internal and external to the engineering teams including leadership reviews, Core team meetings, etc
- Define and track clear goals, priorities, and milestones, ensuring alignment with overall Groq’s corporate goals
- Provide Programmatic guidance, mentorship, and foster a culture of execution within System SW, ML Compiler, Networking and other SW teams
- Monitor project execution, identify risks, and proactively implement mitigation strategies
Our take
Groq is an exciting semiconductor startup focused on creating advanced chips designed specifically for AI applications, particularly for AI inference, where models use trained data to deliver fast responses.
Groq aims to challenge Nvidia's dominance by focusing on speed and efficiency for AI deployment. While Nvidia's GPUs handle both training and running AI models, Groq's LPUs are optimized for inference tasks. With a recent $640M funding round, Groq plans to scale up and deploy over 100,000 LPUs by 2025.
To achieve this, the company has partnered with companies like Meta and Samsung, as well as sovereign entities like Saudi Aramco, showcasing the company's growth and potential. With its exciting technology, Groq is well-positioned to play a significant role in the AI chip market in the coming years.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Aug 2024
$640m
SERIES D
Jul 2024
$300m
SERIES D
Total funding: $1.3bn
Company HQ
Old Mountain View, Mountain View, CA
Articles
Leadership
Jonathan Ross
(Founder & CEO)Majored in Mathematics and Computer Science at NYU. Joined Google as a Software Engineer in 2011, and was promoted to Hardware Engineer in 2013. Co-founded Google's Tensor Processing Unit. Was also a Rapid Evaluator at Google X, and then founded Groq in 2016, acting as its CTO before becoming the CEO in 2018.
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