651 Java J2ee jobs in Warner Springs, CA

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      Enterprise IT Systems Engineer

      BOOZ, ALLEN & HAMILTON

      San Diego, CA 92101

      RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

      • TS / SCI clearance
      • 12+ years of experience with enterprise systems engineering in a DoD or secure environment
      • Experience with SAN, HCI, and backup or DR architectures
      • Experience with DoD cybersecurity compliance, including RMF or STIGs
      • HS diploma or GED
      • Ability to obtain a DoD 8570.11 IAT Level II Certification such as CompTIA Security+ CE, CCNA-Security, GSEC, or SSCP Certification within 30 days of start date
      • Experience supporting deployable or tactical IT environments
      • TS/SCI clearance is required
      • Experience with Micro soft enterprise technologies, virtualization platforms, or cloud services
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      CPU Power Management FW Developer

      Qualcomm

      San Diego, CA 92154

      Onsite

      • 3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
      • Frequently transports and installs equipment up to 5 lbs.
      • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
      • Frequently transports between offices, buildings, and campuses up to ½ mile.
      • Bachelors - Computer Science, Bachelors - Engineering, Bachelors - Information Systems
      • PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
      • 4+ years' experience with Programming Language such as C, C++, Java, Python, etc.
      • Performs required tasks at various heights (e.g., standing or sitting).
      • Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience.
      • Continuous communication which includes the comprehension of information with colleagues, customers, and vendors both in person and remotely.
      • 8+ years of Software Engineering or related work experience
      • Monitors and utilizes computers and test equipment for more than 6 hours a day.
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      CNC Setup Machinist - 1st Shift

      5th Axis

      San Diego, CA 92111

      $28-$45/hr
      OnsitePaid Time OffRetirement Benefit

      • Ability to work with minimal supervision
      • Ability to coordinate schedules to meet production timelines
      • Demonstrated ability to set up and operate CNC machines (Hermle, Mikron, HAAS, Doosan, and Grob technology)
      • Ability to perform setups using probes and tool setters, ensuring tools are accurately measured
      • AA Degree or High School diploma with job experience
      • Ability to utilize Fanuc controls and make minor program edits at the machine
      • Ability to interpret mechanical blueprints, parts lists, specifications, and client requirements
      • Must be able to occasionally lift and/or carry up to 30 pounds
      • Minimum of 5 years' experience as a CNC Setup Machinist
      • Must be able to continuously stand and/or walk for extended periods of time on concrete surface
      • Proficiency with setup sheets and understanding of G&M; codes
      • Ability to log job details into the Epicor ERP system and maintain accurate records, including part counts and revision checks
      • Ability to repeatedly kneel, bend, crouch, reach and/or stoop throughout the shift as needed to successfully perform job duties
      • Must be able to push and/or pull up to 30 pounds
      • Ability to create subroutine programs and edit existing machine programs
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      Senior Machine Learning Engineer

      SAIC

      San Diego, CA 92101

      Onsite

      • Strong programming skills in Python.
      • Advanced degrees (MS/PhD) in related fields are preferred but not required.
      • Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn.
      • Apply cybersecurity principles in the design and deployment of machine learning systems.
      • Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications.
      • US Citizenship.
      • Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes).
      • Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications.
      • At least 10 years of experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer.
      • Perform data preprocessing, feature engineering, model evaluation, and validation.
      • Additional certifications in cloud, cybersecurity, AI/ML, or DevSecOps are a plus if required by contract.
      • Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments.
      • Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins).
      • Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.
      • In support of NAVWAR's Naval Operational Architecture (NOA) Program in San Diego, CA
      • Experience with distributed computing and parallel processing.
      • Design, develop, and implement machine learning models and algorithms for naval applications.
      • Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards.
      • Previous experience supporting government agencies or military organizations.
      • Strong analytical, problem-solving, and communication skills.
      • Familiarity with software engineering best practices, including Git.
      • Participate in CI/CD pipeline development, automation, and DevSecOps workflows.
      • Ability to perform activities on a reoccurring basis during shipboard operations or testing evolutions.
      • Contribute to distributed computing and parallel processing approaches to optimize ML model performance.
      • Ability to work effectively in a collaborative team environment.
      • Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.
      • Bachelor of Science degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, or Statistics.
      • Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements.
      • Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).
      • Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms.
      • Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
      • Top secret cleared AI/Machine Learning Subject Matter Expert
      • Strong programming skills in Java, C++, Go, or Rust.
      SmartExplore AI is experimental.

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