Autonomy Software Engineer – AI/ML & C++

0090 CORP-Corporate Office

United States

On-site

USD 92,000 - 171,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Life insurance
Disability insurance
Savings plan
Paid time off
Company holidays
Flexible work arrangements

Job summary

Northrop Grumman in Redondo Beach, CA seeks a Software Engineer or Principal Software Engineer to advance software for flight-critical systems. The role emphasizes C++ and Python development, AI/ML approaches, and DevOps pipelines in a non-remote, onsite setting.

The ideal candidate has a STEM degree with 2–5 years of experience (or a master's with 3–5), and must be able to obtain a US Government clearance. Strong collaboration and communication are essential.

Qualifications

  • Bachelor's degree in Computer Science or STEM discipline from an accredited university or Master's degree in the same fields.
  • Ability to obtain and maintain a US Government clearance and SAP access within a reasonable time.
  • Proficient in developing and debugging C++ code and experience with DevOps tools such as Jenkins pipelines.
  • Experience with autonomy algorithms and AI/ML development is strongly preferred.

Responsibilities

  • Design, develop, integrate and test software systems for flight-critical applications.
  • Develop autonomy algorithms and AI/ML components in a fast-paced team.
  • Collaborate across teams to ensure robust software integration and performance.
  • Participate in lab and field testing environments to validate software.

Skills

C++
Python
Java
MATLAB
Git
Jenkins
Docker/Kubernetes
CUDA
Linux

Education

Bachelor's degree in Computer Science or STEM
Master's degree in Computer Science or STEM

Tools

Jenkins
Docker/Kubernetes
Git
CUDA

Job description

Northrop Grumman in Redondo Beach, CA seeks a Software Engineer or Principal Software Engineer to advance software for flight-critical systems. The role emphasizes C++ and Python development, AI/ML approaches, and DevOps pipelines in a non-remote, onsite setting.

The ideal candidate has a STEM degree with 2–5 years of experience (or a master's with 3–5), and must be able to obtain a US Government clearance. Strong collaboration and communication are essential.

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