This role pays less than
82%
of similar roles. Most pay
$165,250–$216,250
— the shaded band above.
At the midpoint, this role pays about
$153k
versus about
$191k
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
563 open roles
on FindRole.
Listed pay typically runs
$168,000–$264,500
across 556 roles with salary data.
NVIDIA is seeking an ASIC Design Efficiency Engineer to join its dynamic and innovative team focused on developing cutting-edge hardware accelerators and processors for mobile, embedded, and datacenter platforms. In this role, you will develop advanced HW, GPU, and system designs to enhance performance and efficiency, working closely with architects, designers, verification teams, and VLSI experts to create industry-leading GPUs. Your daily tasks include understanding design implementations, developing methodologies and infrastructure to improve Performance, Power, and Area (PPA), and delivering fully verified RTL code that meets high standards of efficiency. Ideal candidates have a Bachelor’s degree in Electrical or Computer Engineering, 2+ years of relevant experience, proficiency in SystemVerilog, and knowledge of Python or Perl scripting. Experience with pipeline processor design, deep learning accelerators, performance verification, low power design, and physical synthesis is highly desirable.