666 Engineer Technician None jobs in Duluth,GA

Associate, Manufacturing Engineer

L3 Harris

Alpharetta, GA 30022

~ 19 min OnsiteBilingual Preferred

Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Materials Science Engineering, Industrial Engineering or related field or have completed their Bachelor's degree within the last 12 months, regardless of age.

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Systems Safety Engineer

Anduril Industries

Atlanta, GA 30349

~ 32 min OnsiteHealth Insurance

Minimum of 5 years of industry experience as a System Safety Engineer or equivalent engineering background
B.S. degree in Mechanical Engineering, Aerospace Engineering, Systems Engineering, or equivalent technical discipline
Experience with safety-critical hardware and software systems in the defense or aerospace industry
Familiarity with MIL-STD-882E and other relevant safety standards
Strong background in safety analysis techniques including FTA, FHA, SCFTA, and FMECA
Experience with requirements decomposition for Safety
Failure investigation/analysis experience with a proven track record of solving problems and preventing reoccurrence
Design Review experience (PDR, CDR, MRR) and confident presentation skills
Strong analytical/problem-solving skills and excellent communication skills with the ability to collaborate cross-functionally
Eligibility to obtain and maintain a U.S. security clearance

SmartExplore AI is experimental.

New, Posted 23 hours ago

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Embedded Systems Engineer

Stryten Energy

Alpharetta, GA 30005

~ 19 min Onsite

BS or MS in Computer Engineering, Electrical Engineering, Computer Science, or related discipline
4+ years of hands-on embedded firmware development in C for resource-constrained MCUs
Fluency in C and strong competence in Python; ability to work comfortably with both
Experience with the CANOPEN software stack or similar embedded platform stacks
Solid understanding of real-time embedded concepts: ISRs, peripherals, DMA, timers, RTOS tasks/queues, power states
Proficiency with common embedded interfaces and tooling:
CAN, SPI, I2C, UART; oscilloscopes, logic analyzers, in-circuit debuggers
Build systems, cross-compilers, and linkers; version control with Git
Experience working with Wireless communications
Demonstrated experience writing high-quality engineering documentation
Strong debugging skills, root-cause analysis, and methodical problem solving
Ability to work effectively in cross-functional teams and communicate clearly

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Manufacturing Engineer - Electrical Planner Level 2

Lockheed Martin

Marietta, GA 30063

~ 37 min OnsiteFlexible Schedule

MUST BE A U.S. CITIZEN
Experience reading, analyzing, and applying blueprints, schematics, and tool design documentation to support manufacturing processes.
Experience with the standard planning workflows, work instructions, and documentation required for fabrication, assembly, and installation activities.
Experience of common fabrication methods (e.g., machining, welding, additive manufacturing, sheet metal forming, wire harnesses development) and the associated procedural controls.
Experience creating, reviewing, and validating BOMs, ensuring accurate part counts, material specifications, and cost data for downstream activities.

SmartExplore AI is experimental.

New, Posted 1 day ago

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Manufacturing Engineer

ZF Group

Gainesville, GA 30506

~ 48 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

BS in Engineering
2 - 4+ years of experience (internship/co-op included)

SmartExplore AI is experimental.

New, Posted 1 day ago

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Systems / Mechanical Engineer - Sustainment

Trenton Systems

Lawrenceville, GA 30043

~ 21 min Onsite

Degree in Mechanical or Computer Engineering or related field
Minimum of 3-years' experience in an electronics manufacturing environment
Experience with CAD or ECAD tools
Strong problem-solving and analytical skills, with a deep understanding of process optimization techniques.
Excellent communication skills and the ability to work well in team settings and with all levels in the organization
Strong attention to detail and commitment to safety and quality standards.
Excellent project management skills
Experience working within an ERP system
Ability to manage multiple activities and identify priorities based on inputs

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Machine Learning Lead Engineer

Cox Automotive

Stone Mountain, GA 30083

~ 41 min OnsitePaid Time Off

Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
Bachelor's degree in a related discipline and 6 years' experience in Machine Learning; or a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 years' experience in a related field; or 18 years' experience in a related field with no degree
Minimum of 6 years of experience as a Machine Learning Engineer or equivalent
Deep expertise in multiple ML domains and familiarity with emerging research areas
Strong experience in technology evaluation, competitive analysis, and strategic planning
Comfortability with non-deterministic systems
Product background- understand how to prioritize, collaborate across teams, manage dependencies with others, set strategy
Experience in Rally, Jira or similar tools
Skilled in analytical thinking, consulting, requirements analysis, system and technology integration and technology savvy.
Skilled in collaborating with intent, communicating with impact, developing trust, driving innovation and striving for excellence.
Proven track record of leading innovative projects from concept to proof-of-concept
Demonstrated success in knowledge sharing and thought leadership (publications, speaking, etc.)
Experience building and leading high-performing research or innovation teams
Excellent communication skills for technical and executive audiences
Strong network within the ML research community
Experience with research collaboration and partnership development
Proficiency in AI development tools (GitHub Copilot, Claude, GPT-4) for ML development with ability to validate AI outputs for production readiness.
Understanding of agentic frameworks (AWS AgentSquad, AWS Strands, LangChain, agent patterns) with progression from basic configuration to custom enterprise system design.
Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment.
Ability to leverage AI like Co-Pilot for technical communication to stakeholders and cross-functional collaboration.
Commitment to continuous learning in AI-augmented data science and responsible AI use.

SmartExplore AI is experimental.

New, Posted 1 day ago

Director, AI Engineer

KPMG

Atlanta, GA 30307

~ 32 min OnsiteHealth InsuranceRetirement Benefit

Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology, including leadership roles in consulting or technology organizations; AI certifications (for example: Professional AI Architect, Machine Learning Engineer) or equivalent are a plus
Advanced degree from an accredited college or university in computer science, data science, engineering, or related field preferred; minimum of a Bachelor's degree from an accredited college or university is required
Deep knowledge and hands-on experience with Microsoft, AWS, and/or Google Cloud's AI ecosystem (including agent build functionality) to design and orchestrate intelligent multi-agent systems such as chatbots and virtual assistants that handle complex, dynamic tasks and conversations
Proficient in architecting and implementing AI-powered workflow solutions using Microsoft, AWS, or Google Cloud services (For example: Foundry, Bedrock, Vertex AI), with capabilities in defining blueprints and technical requirements for scalable, automated systems with expertise in agentic AI and automation
Skilled in designing multi-agent conversational AI systems integrated with enterprise applications (CRM, ERP), enhancing customer engagement through smart chatbots and virtual agents to improve user experience and operational efficiency; experienced in conversational AI integration
Deep understanding of scaling AI-driven solutions, ethical AI, and MLOps practices for maintaining models; ability to bring industry consulting insights with a balance of technical and business acumen to deliver strategic, value-driven AI solutions; In-depth knowledge of AI orchestration and best practices
Travel as needed
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.

New, Posted 1 day ago

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