
Manager, Developer Technology
NVIDIA
full-time
Posted on:
Location Type: Hybrid
Location: Santa Clara • California • New York • United States
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Salary
💰 $224,000 - $431,250 per year
Tech Stack
About the role
- Driving Innovation: researching, analyzing, and developing innovative techniques to optimize performance of complex workloads across cloud and on-premise environments.
- Technical Leadership: leading software design decisions, influencing architecture roadmap, and effectively communicating technical solutions to multi-functional teams.
- Growing and Mentoring Your Team: building a distributed world-class team of performance engineers and fostering a collaborative and innovative culture.
- Collaboration and Communication: collaborating closely with company leadership, research teams, and cross-functional partners to drive strategic decision-making.
Requirements
- An MS or PhD in Computer Science, Computer Engineering, or in a related computationally focused science degree (or equivalent experience).
- 7+ overall years of relevant experience with 4+ years in a technical role and 3+ years of experience in an engineering leadership role.
- Outstanding leadership, strong cross-functional collaboration, and impactful project execution.
- Hands-on experience in low-level performance optimization, including GPU parallel programming, e.g., CUDA.
- Programming fluency in C/C++ with a deep understanding of algorithms and software development.
- In-depth expertise with CPU and GPU architecture fundamentals.
- Strong algorithmic skills and proven experience implementing low-level optimizations for enterprise applications.
- A track record of building high-performing teams by attracting and hiring top engineering talent.
- Excellent communication and presentation skills.
- Demonstrated ability to successfully plan, lead, and execute high-impact initiatives.
Benefits
- equity
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Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
performance optimizationGPU parallel programmingCUDAC/C++ programmingalgorithmssoftware developmentCPU architectureGPU architecturelow-level optimizationsenterprise applications
Soft Skills
leadershipcross-functional collaborationproject executioncommunicationpresentation skillsteam buildingmentoringinnovationstrategic decision-makingcollaboration
Certifications
MS in Computer SciencePhD in Computer ScienceComputer Engineering degree