Embedded Software Senior Engineer/Autonomy/AI/Machine Learning

About the role

Join us as an Embedded Software Senior Engineer/Autonomy/AI/Machine Learning at Lockheed Martin. This role involves designing, developing, and testing embedded software systems for autonomy, AI, and machine learning applications.

Responsibilities

• Design and develop high-quality embedded software solutions for autonomous systems and AI applications.
• Collaborate with cross-functional teams including mechanical, electrical, and software engineers to ensure system integration and functionality.
• Contribute to the development of new algorithms and technologies in the areas of autonomy, AI, and machine learning.
• Perform software testing and debugging to ensure reliability and performance of embedded systems.
• Document design decisions, test results, and implementation details to support future maintenance and upgrades.

Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, or related field.
• Minimum 5 years of relevant work experience in embedded software development.
• Experience with C/C++, Python, and/or MATLAB.
• Knowledge of hardware platforms such as ARM, Intel, and FPGA.
• Experience with real-time operating systems like RTOS.
• Strong problem-solving skills and ability to work independently and collaboratively.
• Ability to understand and document complex technical specifications.

Qualifications

• Advanced degree in Computer Science, Electrical Engineering, or related field preferred.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Experience with sensor data processing and analysis.
• Experience with embedded hardware and firmware development.
• Strong communication and interpersonal skills.

Skills

• Software development skills in C/C++ and Python.
• Experience with real-time operating systems.
• Understanding of hardware platforms and embedded systems.
• Knowledge of machine learning frameworks and algorithms.
• Problem-solving and analytical skills.

Benefits

• Competitive salary and benefits package.
• Incentive programs for performance and achievement.
• Flexible work schedule and remote work options.
• Professional development opportunities and training programs.
• Health, dental, and vision insurance.
• 401(k) retirement plan with company matching.

Pay

• Salary range: $80,000 - $120,000 annually.

Schedule

• Full-time position.