954 Sr Soar Data Engineer jobs in Los Angeles,CA

5+ years of experience with large-scale missions and systems engineering and integration
3+ years of experience performing systems engineering analysis and developing systems engineering products for DoD or government systems
3+ years of experience with practical MBSE for the development of technical specifications, interface control documents, and system architecture, including using digital engineering tools such as Cameo or MagicDraw, SparxEA, DOORS, or IBM Rhapsody
Ability to perform multiple systems engineering and program management functions in support of design reviews and requirements verification
Ability to communicate and establish collaborative relationships with government clients, Federally Funded Research and Development Center s ( FFRDC ) , and asso cia te contractor teammates to achieve program goals
Secret clearance
Bachelor's degree in a STEM field

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DevOps Engineer with Security Clearance

Encode

Seal Beach, CA 90740

Flexible Schedule

New, Posted 1 day ago

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Senior Test Systems Engineer

Raytheon

Los Angeles, CA 90001

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Sr Manufacturing Engineer, Integration & Test, Second Shift

Relativity Space

Long Beach, CA 90805

~ 29 min OnsiteUrgently Hiring

Degree in engineering or a related technical field, with 5+ years of hands-on experience building and testing hardware in a manufacturing or integration environment
Own hardware from design release through build, test, and delivery for engine or vehicle systems, taking full responsibility for execution readiness and product quality across subassemblies and integrated systems
Develop and release detailed build flows, work instructions, and test procedures to enable repeatable, high-quality execution across first builds and maturing programs
Support first article builds in a fast-paced environment, focusing on manufacturability, repeatability, and quality, while developing scalable processes that enable a smooth ramp to higher production rates
Provide hands-on floor support during build and test, resolving issues in real time, incorporating technician feedback, and driving continuous improvement across hardware flow and process discipline
Coordinate across design, supply chain, production, and test teams to ensure part readiness, tooling availability, schedule alignment, and smooth handoffs between build stages
Contribute to the development of long-term manufacturing systems and infrastructure, including tooling strategies, ERP/MES workflows, and production documentation standards
Skilled at investigating hardware issues, resolving non-conformances, and driving root cause analysis with corrective actions implemented effectively
Familiar with general assembly and test procedures, including tolerance stack-up analysis, structural proof testing, and pressurized leak checks
Comfortable interfacing across design, manufacturing, supply chain, and test teams to ensure hardware quality and schedule alignment
Self-starter who can define and roll out new processes from scratch, working collaboratively with technicians, engineers, and external vendors
Proficient in GD&T;, CAD, and basic design or test analysis, with experience in at least two of the following: LOX cleanliness, leak checking, sensor checkouts, tube bending, tool design, crane operations, or subassembly builds

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Manager, AI Engineer

KPMG

Los Angeles, CA 90024

OnsiteHealth InsuranceRetirement Benefit

Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
Master's degree from an accredited college or university preferred
Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
Knowledge of AI security, data privacy, governance, and ethical AI frameworks
Strong problem-solving skills with the ability to translate complex technical concepts for executives
Excellent verbal and written communication skills, with experience creating client-facing deliverables
Willingness and ability to travel
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity

SmartExplore AI is experimental.