Ground System Development Post-Masters Student

What You Will Do

The Space Data Science & Systems Group (ISR‑3) at Los Alamos National Laboratory is seeking a qualified Post‑Master's student to participate in the execution of our portfolio of space‑based programs. ISR‑3 is an integral part of the Intelligence and Space Research (ISR) Division, and has its essential capabilities in mission software and systems engineering, computing infrastructure and security, workflow automation and data pipelines, and data architecture and database design.

The successful candidate will become a member of ISR‑3 and be assigned to the Ground & Operational Software Engineering team. This team provides software engineering and algorithm development capabilities for sustainment of the ground elements of our space‑based programs. The successful candidate will work regularly in a classified setting and must demonstrate a strong commitment toward security. The successful candidate will be self‑motivated and possess good communication, writing, and teamwork skills.

• Programming experience: 2+ years of experience with C/C++, Rust, and/or Python.
• Operating system experience:
  Familiarity with Unix/Linux operating systems.
• Version control system experience:
  Working knowledge with one of the following version control systems: SVN, git, or mercurial.
• Collaboration/teaming:
  Demonstrated ability to work closely with scientific teams. Must be able to build and maintain effective relationships.
• Communication:
  Strong written and verbal presentation skills.
• Education/
  
  Experience:
  
  Master’s degree in Computer Science, Physics, Mathematics, equivalent science degree or MS in Computer Engineering, Electrical Engineering, or equivalent engineering degree. Eligibility limited to students who have completed a master’s degree within the past 3 years, but have not been accepted and enrolled in a graduate PhD program. The master’s degree should have been completed with a minimum cumulative GPA of 3.0 on a 4.0 scale, or equivalent.

• 4+ years of programming experience with C/C++ or Rust.
• Experience developing, testing, deploying, and iterating scientific algorithms.
• Experience developing, designing, and deploying modular and scalable applications.
• Experience working with containers and container orchestration (e.g., Kubernetes).
• Experience with software/job orchestration (e.g., Airflow or Argo).
• Experience with satellite sensors, systems, and programs.
• Experience developing formalized unit and/or integration test software.

The work location for this position is on‑site and located in Los Alamos, NM. All work locations are at the discretion of management.

Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People’s Republic of China—including the special administrative regions of Hong Kong and Macau—as well as citizens of the Islamic Republic of Iran, the Democratic People’s Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents (“green card” holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.

Applicants must include a cover letter detailing how they meet the minimum requirements of the position.

Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security.

• PPO or High Deductible medical insurance.
• Dental and vision insurance.
• Free basic life and disability insurance.
• Paid childbirth and parental leave.
• Award‑winning 401(k) (6% matching plus 3.5% annually).
• Learning opportunities and tuition assistance.
• Flexible schedules and time off (PTO and holidays).
• On‑site gyms and wellness programs.
• Extensive relocation packages (outside a 50‑mile radius).

Directive 206.2 – Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. This…