ASIC Design Engineer II

VisLab (an Ambarella Inc. company); Kentucky; On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

RSU grants

Annual RSU grants

Competitive benefits

Job summary

VisLab (an Ambarella Inc. company) seeks an AI Vision Processor engineer to design and verify edge-ready video processing hardware using Verilog and SystemVerilog for smart cameras and autonomous devices.

You will optimize RTL for performance and power, develop front-end methodologies, and collaborate with verification teams to close coverage gaps. Master’s in a relevant field with 0–5 years experience is required, with a base salary range of $130,000–$160,000.

Qualifications

• Master's degree in Electrical, Electronics, or Computer Engineering, with 0–5 years of relevant experience.
• Solid understanding of computer architecture, logic design, and VLSI design principles.
• Proficiency in SystemVerilog, Verilog, and Perl; familiarity with design verification methodologies and functional coverage concepts.
• Experience with scripting languages and the ability to write assembly language programs.
• Strong communication skills and a collaborative, team-oriented mindset; problem-solving and analytical thinking.

Responsibilities

• Design and implement video compression, image processing, vector processing, neural network accelerators, processor cores, and memory subsystems using Verilog and SystemVerilog.
• Perform logic design, implementation, and verification utilizing Verilog, SystemVerilog, and relevant programming and scripting languages.
• Synthesize and optimize RTL for performance, area, and power efficiency.
• Develop and enhance front-end design methodologies and tool flows.
• Contribute to chip bring-up and validation efforts.
• Analyze code and functional coverage metrics, and collaborate with the verification team to identify and address coverage gaps.

Skills

Verilog/SystemVerilog

Perl

Scripting languages

Assembly language

Computer architecture

VLSI design principles

Education

Master's degree in Electrical, Electronics, or Computer Engineering

Tools

Verilog

SystemVerilog

Assembly language

Design verification methodologies

Job description

AI Vision Processors For Edge Applications

Our solutions make cameras smarter by extracting valuable data from high-resolution video streams.

Job Description

Design and implement video compression, image processing, vector processing, neural network accelerators, processor cores, and memory subsystems using Verilog and SystemVerilog. Perform logic design, implementation, and verification utilizing Verilog, SystemVerilog, and relevant programming and scripting languages. Synthesize and optimize RTL for performance, area, and power efficiency. Develop and enhance front-end design methodologies and tool flows. Contribute to chip bring-up and validation efforts. Analyze code and functional coverage metrics, and collaborate with the verification team to identify and address coverage gaps.

Qualifications

Master's degree in Electrical, Electronics, or Computer Engineering, with 0–5 years of relevant experience. Solid understanding of computer architecture, logic design, and VLSI design principles. Proficiency in SystemVerilog, Verilog, and Perl. Familiarity with design verification methodologies and functional coverage concepts. Experience with scripting languages and the ability to write assembly language programs. Strong communication skills and a collaborative, team-oriented mindset. Demonstrated problem-solving skills and analytical thinking. Knowledge of logic synthesis and timing closure is a plus.

Why Join Us?

• Work on industry-leading products in an innovative and collaborative environment.
• Make a direct impact on technologies used in autonomous vehicles, smart cameras, and more.
• Competitive compensation, excellent benefits, and career development opportunities.
• We also offer new-hire RSU grants and the opportunity for annual RSU grants, as well as other highly competitive benefits.

The base range is $130,000 -$160,000. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The successful candidate will have the opportunity to convert to a full-time regular position.

Be a part of something extraordinary.