Engineering Manager – AI Developer Technology
Company | NVIDIA |
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Location | Austin, TX, USA, Santa Clara, CA, USA, Durham, NC, USA, Hillsboro, OR, USA, Westford, MA, USA |
Salary | $224000 – $356500 |
Type | Full-Time |
Degrees | Master’s, PhD |
Experience Level | Senior, Expert or higher |
Requirements
- An MS or PhD in Computer Science, Computer Engineering, or in a related computationally focused science or engineering degree (or equivalent experience).
- 8+ overall years of relevant experience with 5+ years in a technical role and 3+ years of experience in an engineering leadership role.
- In-depth expertise in linear algebra and performance optimization of Deep Learning training and inference
- Background in parallel programming, e.g., CUDA, OpenMP, MPI, pthreads, etc.
- Programming fluency in C/C++ with a deep understanding of algorithms and software development.
- Knowledge of CPU and GPU architecture fundamentals and low-level performance optimizations
- Excellent written and presentation skills.
- Proven track record of planning and leading critical initiatives.
Responsibilities
- Lead your team to optimize and develop algorithms for Machine Learning and Deep Learning applications
- Define and drive technical initiatives to advance the state-of-the-art in accelerated Deep Learning and Machine Learning applications
- Collaborate with research, hardware, and software teams to influence the design of next-generation hardware, software, and programming models
- Develop and communicate technical solutions to external and internal collaborators, including technical design decisions and project plans
- Hire the best talent to join your team, promoting a diverse and skilled team that can tackle complex technical challenges
- Coach and grow your team, promoting a culture of engineering excellence and idea proliferation
Preferred Qualifications
- A PhD in a relevant field
- Expertise in LLMs, multimodal model architecture and performance optimizations of relevant computational primitives
- Proven experience with recruiting top talent.