Developer Relations Manager - Robotics and Generative AI
NVIDIA is seeking a Developer Relations Manager to drive the adoption of GPU-accelerated computing solutions, specifically targeting robotics and Physical AI. The role involves ecosystem building, identifying technical blockers, and collaborating with cross-functional product and sales teams to accelerate developer journeys in the APAC region. Candidates should possess deep technical expertise in LLMs, Agentic AI, and software architecture, alongside strong stakeholder management capabilities. The position requires a high degree of autonomy and the ability to influence technical audiences.
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Experience
10+ years
Function
Engineering
Work mode
Hybrid, Singapore
Company
Tier 1
What you will work on
NVIDIA is seeking a Developer Relations Manager to drive the adoption of GPU-accelerated computing solutions, specifically targeting robotics and Physical AI. The role involves ecosystem building, identifying technical blockers, and collaborating with cross-functional product and sales teams to accelerate developer journeys in the APAC region. Candidates should possess deep technical expertise in LLMs, Agentic AI, and software architecture, alongside strong stakeholder management capabilities. The position requires a high degree of autonomy and the ability to influence technical audiences.
TAL's take
Exceptional role at a Tier-1 industry leader in AI, requiring high-level technical expertise in robotics and generative AI ecosystems.
The JD clearly defines the target domain, responsibilities, and specific NVIDIA technology stacks.
Salaries at Nvidia
29.5 LPA average
Based on 43 Grapevine salary entries for Nvidia.
Engineering
0 - 2 years | IC2
14 LPA average
Range: 5 - 21 LPA
Engineering
2 - 4 years | IC3
21 LPA average
Range: 20 - 22 LPA
Engineering
4 - 6 years | IC3
29 LPA average
Range: 23 - 35 LPA
Engineering
6 - 8 years | SDE 2
30 LPA average
Range: 17 - 37 LPA
Must haves
- 10+ years experience in technical leadership and architecting GPU accelerated solutions
- Deep understanding of Physical/Embodied AI and Gen AI ecosystem
- Strong project management skills
- Clear written and oral communication skills
- Hands-on experience with software architecture design and programming
Tools and skills
Nice to have: ml/dl frameworks, aiops, mlops, nvidia isaac, nvidia drive, nvidia omniverse, nvidia gr00t, nvidia ai software.
About the company
Nvidia is a global leader in AI and GPU computing, qualifying as a top-tier tech firm.