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Gpu Deep Learning Engineer

Los Angeles,CA

1238 Gpu Deep Learning Engineer jobs in Los Angeles,CA

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Principal / Sr. Principal Software Engineer (C++ and TS Clearance)

Northrop Grumman

Los Angeles, CA 90011

OnsiteHealth InsurancePaid Time Off

  • Active Top Secret security clearance and enrolled in Continuous Evaluation
  • Ability to meet customer-specific security screening requirements within a timeframe set forth by management
  • Willingness and ability to work onsite full-time
  • Experience working in C/C++
  • Familiarity with modern C++ standards and features (e.g., C++ 17 onwards)
  • Demonstrated ability to analyze system requirements to derive software design and performance requirements
  • Proven ability to design and code new software, as well as modify existing software to add new features
  • Ability to debug existing software and correct defects
  • Experience with open software/system architecture solutions
  • Effective communication and interpersonal skills, with the ability to collaborate effectively with diverse stakeholders
  • Experience with developing and maintaining CI/CD pipelines
  • Experience with Git-based or other software configuration management tools
  • Bachelor's degree in a STEM discipline with 5+ years of relative experience; Master's degree in a STEM discipline with 3+ years of relative experience; PhD + 1 year of relative experience
  • Bachelor's degree in a STEM discipline with 8+ years of relative experience; Master's degree in a STEM discipline with 6+ years of relative experience; PhD + 4 years of relative experience
SmartExplore AI is experimental.
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Manufacturing Engineer II, Integration & Test

Relativity Space

Long Beach, CA 90805

~ 29 min Onsite

  • Degree in engineering or a related technical field, with 2+ years of hands-on experience building and testing hardware in a manufacturing or integration environment
  • 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
  • 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
  • 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
SmartExplore AI is experimental.
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Manager, AI Engineer

KPMG

Los Angeles, CA 90020

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
  • Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
  • Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
  • Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships
  • 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.
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Principal Systems Engineer (ONSITE)

RTX

El Segundo, CA 90245

Visa Sponsorship Available

~ 23 min OnsiteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
  • Security Clearance Type: Secret - Current
  • Security Clearance Status: Active and existing security clearance required on day 1
  • Working knowledge of Model-Based Systems Engineering (MBSE)
  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience
SmartExplore AI is experimental.
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Staff Manufacturing Engineer, Primary Structures

Relativity Space

Long Beach, CA 90805

~ 29 min Onsite

  • Bachelor's degree in manufacturing, aeronautical, mechanical engineering, or other engineering discipline
  • 8+ years progressive and related experience required
  • Strong history of supporting complicated assembly builds and capable of making risk decisions on a regular basis to disposition issues during build and keep production moving
  • Excellent interpersonal skills with the ability to interface with engineering and manufacturing groups to understand process constraints and provide design inputs for improved manufacturability
  • Strong engineering fundamentals in statics, mechanics of materials, process improvement/factory design, fastening and joining, machining.
  • Expert knowledge of common drilling and trim ops, other manufacturing processes, tools, inspection methods and GD&T;
SmartExplore AI is experimental.
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Cyber System Security Engineer

ManTech

El Segundo, CA 90245

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Senior Associate, Saviynt Identity Governance Engineer

KPMG

Los Angeles, CA 90002

OnsiteHealth InsuranceRetirement Benefit

  • Minimum three years of recent, hands-on Identity Governance and Administration experience, including one year with Saviynt Identity Cloud
  • Experience supporting Saviynt implementations including application onboarding, identity lifecycle management, access certifications, role management, workflows, policies, and IAM migrations
  • Understanding of identity governance, access controls, segregation of duties, regulatory compliance requirements, and cloud environments including AWS, Azure, and GCP
  • Ability to travel as required
  • 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 (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
SmartExplore AI is experimental.
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2nd Shift, Machining Tech IV, Grind

Howmet Aerospace

La Puente, CA 91744

~ 30 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Minimum 5 years' experience required as a machinist
  • Employee must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
  • This position entails access to export-controlled items and employment offers are conditioned upon an applicant's ability to lawfully obtain access to such items
SmartExplore AI is experimental.
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Field Sales Representative

Sager Electronics

Los Angeles, CA 90001

$50,375-$88,500/yr
New, Posted 1 day ago
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Senior Manager, Data Engineering - Santa Monica, 90404

Universal Music Group

Santa Monica, CA 90404

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