Embedded Software Analysis Engineer (Mid/Senior) - 29115 at HII in Roanoke, VA
- Company: HII
- Location: Roanoke, VA, Virginia
- Salary: $75K – $180K
- Job type: full time
- Workplace: onsite
- Posted: 2026-10-13
Job description
Requisition Number: 29115 Required Travel: 0 - 10% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: $75,000.00 - $180,000.00 Security Clearance: Ability to Obtain Level of Experience: Mid This opportunity resides with Warfare Systems (WS) , a business group within HII’s Mission Technologies division. Warfare Systems comprises cyber and mission IT; electronic warfare; and C5ISR systems. HII works within our nation’s intelligence and cyber operations communities to defend our interests in cyberspace and anticipate emerging threats. Our capabilities in cybersecurity, network architecture, reverse engineering, software and hardware development uniquely enable us to support sensitive missions for the U.S. military and federal agency partners. Meet HII’s Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense – the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that’s right for you. Apply today. We look forward to meeting you. To learn more about Mission Technologies, click here for a short video: https://vimeo.com/732533072 Job Description Are you bored with the standard product development pipeline? Do you enjoy tinkering and learning how things work? HII Mission Technologies (HII MT) is seeking talented engineers who are excited to work in a flipped engineering environment. Our team in Roanoke, VA specializes in reverse engineering and microelectronics trust and assurance. Candidates for this position will lead a team performing reverse engineering tasks on existing products. Candidates will be expected to reverse engineer microelectronic and application software using both static and dynamic reverse engineering processes. Additional tasks involve firmware extraction , plugin development, and adding support to simulation platforms for unsupported processors. Candidates will be exposed to and become proficient with a variety of technologies involving microprocessor architectures, software reverse engineering frameworks, reverse engineering toolsets, and more. The ideal candidate will have experience with static software reverse engineering tools including Ghidra, Binaryninja, and IDA Pro . The candidate will have experience utlilizing simulation platforms such as QEMU, GDB, Renode and LLVM . The candidate will also be experienced with implementing exploits based on vulnerabilities reported as CVEs. Experience in working with digital logic designs and FPGA systems is also valued in this position. *Position requires full-time and onsite presence in Roanoke, VA. Due to the nature of work, Federal security clearance and contract requirements, this role requires U.S. citizenship. We are unable to sponsor or take over sponsorship of employment visas at this time. This posting is to collect applications for current and future openings for HII Mission Technologies. Candidates will be screened as opportunities come available and selected candidates will be contacted about an opportunity. Essential Job Responsibilities Candidates for this position will be responsible for leading reverse engineering efforts into systems of interest and mentoring junior engineers in the reverse engineering and development processes. Candidates will be expected to communicate clearly and effectively and demonstrate the ability to understand complex systems with minimal or no documentation. Effective collaboration with teammates on dividing complex systems into manageable subsystems and timely sharing of knowledge is required. Candidates will
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