below marketmost similar roles pay hereabove market
This role pays less than
69%
of similar roles. Most pay
$142,500–$214,001
— the blue band above.
At the midpoint, this role pays about
$153k
versus about
$178k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
JOB TITLE: Customer Solutions Architect, Applications Engineering
The Customer Solutions Architect, Applications Engineering joins the Applications Engineering team to enable next-generation Embedded products and system solutions. This role involves leading a Partner Enablement team to ensure product quality, optimize system performance, and enhance integration processes. You will collaborate with Tier-1 and OEM customers from New Product Introduction through mass production deployment. Key responsibilities include defining system-level requirements for Embedded architectures using NVIDIA SoC solutions, maintaining design documentation, and evaluating power efficiency and thermomechanical integration. You will work with hardware design, firmware, software, sensors validation, and AI algorithm teams. Required expertise includes thermal, mechanical, and electrical engineering, with experience in board design and large-scale Automotive and Robotic systems. You must possess in-depth knowledge of AI hardware products and applications.
Develop future Embedded architectures and roadmaps with major Tier-1 and key OEM customers.
Integrate NVIDIA Embedded solutions into customer products alongside hardware, firmware, and software teams.
Define system-level requirements and specifications for Embedded architectures using NVIDIA SoC solutions.
Maintain design documentation, test plans, and customer enablement materials.
Evaluate and enhance system performance, power efficiency, and thermomechanical integration.
Provide internal teams with technical feedback for future product improvements.
Lead a Partner Enablement team to ensure product quality, reliability, and optimized integration.
What we're looking for
BS or equivalent degree in EE/CE/CS engineering field or equivalent experience.
Overall proven experience.
Expertise in thermal, mechanical, and electrical (TME) engineering from board design to large-scale Automotive and Robotic systems.
Consistent track record of leading a team and working with multidisciplinary groups including hardware, firmware, software, and AI algorithm developers.
In-depth knowledge of AI hardware products and applications.
Exceptional communication skills and strong collaboration abilities.
Deep passion for complex problem-solving on a technical and process level.
AI
Deep Learning
SoC
Firmware
Hardware Design
TME) engineering
Automotive Architecture
Robotic s
Sensors Validation
NPI
Power Efficiency
Thermomechanical Integration
System Design
Distributed Systems
Java
Go
Python
NoSQL
MongoDB
Couchbase
Relational Databases
Data Flow Diagrams
SLAs
SLOs
SLIs
Observability
High Availability
Fault Tolerance
Scalability