1

Algorithm Research Engineer Jobs in Waltham, MA (NOW HIRING)

This role requires deep algorithmic knowledge, rigorous industrial software engineering, and a ... Drive features from initial algorithmic research through implementation in high-performance C/C ...

New

This role requires deep algorithmic knowledge, rigorous industrial software engineering, and a ... Drive features from initial algorithmic research through implementation in high-performance C/C ...

New

Senior Software Engineer

Boston, MA

$133K - $175K/yr

... engineer to join our R&D team ... In this role, you will work closely with our data science, algorithm research, and clinical teams ...

Senior Software Engineer

Cambridge, MA · On-site

$133K - $176K/yr

... engineer to join our R&D team ... In this role, you will work closely with our data science, algorithm research, and clinical teams ...

Senior Software Engineer

Cambridge, MA · On-site

$133K - $176K/yr

... engineer to join our R&D team ... In this role, you will work closely with our data science, algorithm research, and clinical teams ...

Showing results 41-60

Algorithm Research Engineer information

See Waltham, MA salary details

$39.9K

$114.4K

$153.7K

How much do algorithm research engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for algorithm research engineer in Waltham, MA is $114,372.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,200.00 and $112,200.00 per year, depending on experience, location, and employer.

Principal EDA R&D Engineer

Westford, MA • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Posted 3 days ago

New


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

NVIDIA is seeking an experienced Principal EDA R&D Engineer to pioneer the next generation of Hardware Formal Verification tools!

In this position, you will lead research, architecture, and development of core formal verification engines improved by Agentic AI frameworks. You will craft collaborative, autonomous AI agent networks to extend formal tools. These tools will automatically break down large builds, coordinate solver strategies, synthesize complex properties, and debug execution traces at an unmatched scale. This role requires deep algorithmic knowledge, rigorous industrial software engineering, and a strong record of producing production-grade EDA tools.

What you'll be doing:

  • Architect, construct, and advance brand new formal verification algorithms (e.g., Model Checking, SAT/SMT solvers, BDDs, Equivalence Checking, and Theorem Proving).

  • Design, develop, and deploy multi-agent AI systems (using LLMs, Reinforcement Learning, and Graph Neural Networks) that autonomously analyze RTL topologies, partition large design spaces, and dynamically tune solver parameters.

  • Develop intelligent orchestration layers where autonomous AI agents collaborate to bypass state-space explosion, handling multi-billion-gate builds and deep sequential depth.

  • Develop intelligent engines capable of handling ingestion, abstraction, and the automatic generation of complex System Verilog Assertions (SVA) from natural language specifications and architectural intent.

  • Drive features from initial algorithmic research through implementation in high-performance C/C++ environments, ensuring seamless integration into commercial EDA tool suites.

What we need to see:

  • Ph.D. or Master's degree or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related quantitative field.

  • Minimum of 15 years of professional R&D experience specifically building commercial or advanced academic Electronic Design Automation (EDA) hardware verification tools.

  • Deep mathematical and hands-on understanding of formal methods, including bounded model checking (BMC), unbounded model checking (PDR/IC3), abstract interpretation, and theorem proving.

  • Expert-level proficiency in C/C++ (Modern C++17/20) passionate about high-performance data structures, memory optimization, and multi-threading.

  • Proven experience building or researching Agentic AI pipelines, multi-agent frameworks (e.g., LangChain, AutoGen, CrewAI), tool-use execution, and prompt-engineering tailored to structured code or hardware descriptions.

  • Experience with RTL languages (System Verilog, VHDL, Verilog) combined with solid understanding of System Verilog Assertions (SVA).

Ways to stand out from the crowd:

To distinguish yourself, demonstrate a flawless track record of successfully deploying world-class EDA solutions in high-stakes environments. Showcase any ambitious projects where you have carefully established innovative answers to complex verification challenges. Highlight experiences that reflect your ability to compete at the highest level and deliver outstanding results.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 232,000 USD - 368,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US