Leidos Logo

Leidos

Senior Computer Engineer

Sorry, this job was removed at 04:37 a.m. (PST) on Friday, Jun 13, 2025
Be an Early Applicant
Remote
Hiring Remotely in US
126K-228K Annually
Remote
Hiring Remotely in US
126K-228K Annually

Similar Jobs

Senior level
Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
The Senior Machine Learning Operations Engineer will design MLOps pipelines, manage cloud infrastructure, develop ML models, and ensure data security compliance.
Top Skills: AWSAzureBigQueryCi/CdDataflowDockerGCPKubernetesMlopsPyTorchScikit-LearnTensorFlow
6 Days Ago
In-Office or Remote
2 Locations
151K-310K Annually
Senior level
151K-310K Annually
Senior level
Social Media
The role involves developing cutting-edge models for Pinterest Canvas, collaborating on generative strategies, and mentoring junior members, with a focus on visual modeling.
Top Skills: Computer VisionDiffusion ModelsGenerative ModelsMachine Learning
24 Days Ago
Remote
United States
Senior level
Senior level
Software
You will develop algorithms for robotic perception, write production code in C++, analyze computer vision algorithms, and contribute to team growth.
Top Skills: C++GpusJupyterMatlabPython

General program information and/or position overview.

The candidate will support the NIWC Pacific Radiation Detection, Implementation and Computation (RADIAC) program in the design, development and deployment of radiation detection systems. The candidate will collaborate with an interdisciplinary team of technicians, engineers and scientists to research detection technologies, interface with users to understand needs and requirements and field complete radiation detection solutions.

Primary Responsibilities. Lead the design, development, and implementation of embedded systems, including hardware-software integration.
Basic Qualifications.

  • Bachelor’s degree in Computer Engineering, Electrical Engineering, or a related field from an accredited college/university. Master’s degree preferred.
  • 15+ years of work experience designing, developing, and supporting radiation detection systems.
  • Extensive experience with hardware-software co-design, embedded systems, and microcontroller programming.
  • Strong knowledge of computer architecture, networking protocols, and operating systems.
  • Proficiency in programming languages such as C, Python, or Java.
  • Demonstrated leadership skills with experience managing and mentoring teams.
  • Excellent problem-solving, communication, and analytical skills.
  • Experience using real time operating systems (RTOS) for embedded applications.
  • Experience using bench tools such as oscilloscopes and logic analyzers to troubleshoot embedded systems.
  • Clear communicator (oral and written)
  • Organized

  Preferred Qualifications.

  • Knowledge of FPGA design is a plus.
  • Experience with continuous integration / continuous development techniques (CI/CD) is a plus.
  • NIWC Pacific RADIAC Boilerplate:
  • The candidate will support the NIWC Pacific Radiation Detection, Implementation and Computation (RADIAC) program in the design, development and deployment of radiation detection systems. The candidate will collaborate with an interdisciplinary team of technicians, engineers and scientists to research detection technologies, interface with users to understand needs and requirements and field complete radiation detection solutions.

  • Primary Responsibilities:
    • Lead the design, development, and implementation of embedded systems, including hardware-software integration. 
    • Architect and optimize embedded systems for performance, scalability, and security. 
    • Develop and maintain technical documentation, including design specifications and reports. 
    • Collaborate with cross-functional teams, including scientists, software engineers, electrical engineers, and product managers. 
    • Conduct research and stay updated with emerging technologies to integrate innovative solutions. 
    • Oversee system validation, testing, and troubleshooting processes to ensure reliability and efficiency. 
    • Provide travel and field support as needed for system deployment, testing, and troubleshooting in real-world environments. 
    • Assist in directing and mentoring junior engineers, providing technical guidance and leadership. 
    • Work with stakeholders to define project requirements and ensure alignment with business objectives
  • Basic Qualifications:
  • Bachelor’s degree in Computer Engineering, Electrical Engineering, or a related field from an accredited college/university. Master’s degree preferred. 
  • 15+ years of work experience designing, developing, and supporting radiation detection systems. 
  • Extensive experience with hardware-software co-design, embedded systems, and microcontroller programming. 
  • Strong knowledge of computer architecture, networking protocols, and operating systems. 
  • Proficiency in programming languages such as C, Python, or Java. 
  • Demonstrated leadership skills with experience managing and mentoring teams. 
  • Excellent problem-solving, communication, and analytical skills. 
  • Experience using real time operating systems (RTOS) for embedded applications. 
  • Experience using bench tools such as oscilloscopes and logic analyzers to troubleshoot embedded systems. 
  • Clear communicator (oral and written)

Original Posting:March 28, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $126,100.00 - $227,950.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account