Software Engineer II

life insurance, parental leave, paid time off, paid holidays, sick time, tuition reimbursement, 401(k)

Feb 23, 2026

Location:

US-VA-Lynchburg

:

Category:
Design and Engineering

Position Type:
Full-Time

Location Type:
Onsite

Posted Salary Range: USD $77,000.00 - USD $ /Yr.

As the need for nuclear energy grows, the future couldn't be brighter. Join our vital mission to create lasting solutions for our planet's greatest challenges. In this role, you are ready to shape the future of clean energy and make a long-lasting global impact. With us, anticipate engaging and challenging projects that deliver innovative solutions and value-added technologies helping power more than 38 million North American homes.

• Works from detailed programming specifications, designs, modifies, develops, writes and implements software-programming applications.
• Participates in the testing process through test review and analysis, test witnessing and certification of software.
• Supports and/or installs software applications/operating systems.
• Manages installation and configuration of third-party applications.
• Provides resolution to a fundamental problem or seizes an opportunity that improves the satisfaction of a customer, user or provider.
• Explains the financial impact of a solution or a decision to assist customers in complying with budget requirements.
• May assume ownership of a specific application. Ownership = operational leadership, strategic leadership, responsible for creating and defending software design, technical leadership within a task or project that changes the software, interface with IT, vendor/consultant/subcontractor/customer management.
• Work as an ML systems engineer building software for non-destructive testing in the nuclear industry (e.g., visual, ultrasonic, eddy current).
• Support the development of the ML workflows by ensuring that they can be deployed in reproducible, stable workflows for pilot use.
• Collaborate with subject-matter experts to validate solutions and follow best practices for packaging, observability, and integration into existing systems.

• Bachelor's Degree in Computer Science, Engineering.
• At least 2 years of related experience is required.
• At least 1 year in a hands-on role in a machine learning Engineering or Data Science context.
• Equivalent work experience may be considered in lieu of degree.
• Familiarity with Python.
• Experience with implementation of structured logging, error reporting, and performance tracing to support debugging and diagnostics without over engineering full production infrastructure.
• Ownership of packaging of ML code for reproducible execution and deployment in air‑gapped, workstation‑class environments. This includes managing dependencies, configuration separation, environment isolation, and addressing runtime constraints and offline realities.

• Salary: $77,000 - $100,000 , and may also include annual incentives and performance bonuses. The base salary range is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location.
• Health & Wellness: Multiple medical plan options, dental & vision coverage, life insurance, long‑ and short‑term disability, and optional supplemental plans (critical illness, accident, hospital indemnity, dependent life).
• Retirement: 401(k) with employer match.
• Paid Time Off: Up to 3 weeks of vacation, 8 sick days, and 13 paid holidays annually.
• Extra Perks: Lifestyle spending account, employer paid mental health support, education reimbursement, professional development opportunities, adoption assistance, parental leave, and employee assistance programs.

Framatome has been shaping the future of nuclear energy in the U.S. for more than 60 years. Framatome Inc. is headquartered in Lynchburg, Virginia, with more than 2,400+ employees across North America supporting nearly every nuclear plant in the nation.

From our facilities in Virginia, Washington, North Carolina, Pennsylvania, Massachusetts and beyond, we deliver outage services, advanced nuclear fuel technologies, and…