Job Details

Forensic Investigations Engineer (Hardware)

Join to apply for the Forensic Investigations Engineer (Hardware) role at Keystone AI.

Keystone AI is a premier strategy and economics consulting firm solving the most complex challenges of competition, strategy, and intellectual property for leading technology firms and global brands. We work at the forefront of influential technology cases changing consumer behavior and regulation laws and impacting society on a global scale. Keystone AI brings an interdisciplinary approach, leveraging the intersection of economics, technology, and business strategy to deliver transformative ideas.

K.ATS Foundry is Keystone's engineering center of excellence, embedding data, platform, and forensic expertise into the firm's most complex and high-impact projects. Foundry builds secure, reusable infrastructure and scalable technical solutions that accelerate project delivery and ensure defensible, data-driven outcomes. Our engineers work across disciplines, from automating data pipelines and managing cloud platforms to conducting forensic code and hardware investigations, helping every engagement start faster, run smoother, and deliver greater impact.

As a Technologist – Forensic Investigations Engineer (Hardware), you will work with lawyers, academics, and tech industry leaders to analyze the functionality of technical material including source code, hardware systems, and other technical material stemming from patents, trade secret disputes, mergers and acquisitions, and related high-stakes matters. This role will provide the candidate the opportunity to review the source code, circuitry, and hardware for many of the world's leading technology companies related to semiconductors, analog and digital electronics, power systems, signal processing, embedded systems, among others.

Responsibilities

• Analyze hardware and software systems and present summary findings to clients
• Assess the originality, similarity, and differences between multiple hardware and software systems
• Reverse engineer software applications and review semiconductor teardown reports to analyze key features and functionalities
• Evaluate the complexity and value of software and hardware developed
• Draft documents describing the functionality and behavior of hardware and software systems against legal claims
• Develop and productize tools to make analyses more efficient and scalable

Qualifications

• 3-5 years of experience working as a hardware consultant, circuit design engineer, or electrical/software engineer
• Skilled in a variety of programming languages, hardware description languages, databases, and embedded system platforms, such as: Java, C++, C, C#, Python, PHP, SQL, MySQL, VHDL, Verilog, and FPGA.
• Deep understanding of fundamental concepts in electrical engineering, such as: circuit design and analysis, semiconductor fabrication processes, analog and digital electronics, power systems, signal processing, embedded systems, PCB design, and hardware-software integration
• Deep understanding of fundamental concepts in computer science, such as: data structures, architecture design, programming paradigms (object-oriented, functional, declarative), algorithms, distributed computing, concurrency, computational complexity, database systems, networking, compilers
• Exceptional written and verbal communication skills
• Capacity to work in fast-paced, high-stakes environment
• A desire to be a part of and help grow a great team and organization
• The passion to learn, grow, and help us to improve our business
• Bachelor's degree in Computer Science, Electrical Engineering, or Materials Science; Master's is a plus

US Salary Range: $150,000 - $180,000, 401k contribution, and competitive benefits package. Actual compensation within the range will depend upon the level the individual is hired into based on their skills, experience, and qualifications.

At Keystone AI we believe diversity matters. At every level of our firm, we seek to advance and promote diversity, foster an inclusive culture, and ensure our colleagues have a deep sense of respect and belonging. If you are interested in growing your career with colleagues from varied backgrounds and cultures, consider Keystone AI.