791 Hardware Engineer jobs in Smyrna,GA

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Senior Electrical Engineer

Stryten Energy

Alpharetta, GA 30005

~ 36 min Onsite

BS or MS in Electrical or Computer Engineering (or related discipline) required.
5+ years of relevant experience working as an Electrical Engineer
Strong experience in preparing product and engineering technical specifications and product performance test procedures or plans.
Strong Experience in safety and compliance testing (UL, Military Standards, FCC,...)
Strong Experience in power electronics, mixed signal electronics, and associated technologies.
Strong Experience in energy storage and control in multi-cell, rechargeable lithium-ion battery packs and other storage technologies.
Ability to assemble prototypes with Surface Mount Device (SMD) components.
Strong Experience with Altium and/or OrCAD for schematic capture and PCB layout.
Familiar with SolidWorks 3D CAD, or similar, for mechanical design.
Excellent working knowledge of microprocessor-based controller design and testing.
Excellent working knowledge of communication circuits and protocols (e.g., CAN, Serial, Ethernet, etc.).
Experience with Configuration Management (CM) and Product Lifecycle Management (PLM) tools.
Familiar with low-level software development, including device drivers and scripting languages.
This position requires you to be on-site daily in our Alpharetta, GA, facility.
Occasional international travel - two to three times annually for 3-5 day durations
Hearing, speaking, seeing, writing, standing, lifting (50 lbs.), sitting, bending, walking, and carrying.
Develop and execute hardware Integration, Verification, Validation, and Qualification plans.
Lead and participate in internal and external design reviews.
Collaborate with the mechanical engineering teams to develop high-performance packaging.
Collaborate with third-party suppliers and Subcontract Manufacturers (SCM).
Support Supply Chain Management to identify preferred components and vendors, prepare purchase requisitions, and handle component obsolescence issues.
Participate in Design Failure Mode and Effect Analysis (DFMEA) activities internally and with suppliers.
Participate in Design for Manufacturability (DFM) and Design to Cost (DTC) activities internally and with suppliers to ensure product design is cost-effective and conforms to the manufacturing & assembly plans.
Develop Hardware Design Specification and Hardware Design Description documents.
Develop schematics, Printed Circuit Board (PCB) layouts, Circuit Card Assembly (CCA) drawings, and Bills of Materials (BOM) using industry standard tools.

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Hardware Integration Engineer (Bilingual Chinese)

Geekplus America

Atlanta, GA 30306

Bilingual Preferred

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Staff System Safety Engineer

Anduril Industries

Atlanta, GA 30349

~ 28 min OnsiteHealth Insurance

Minimum of 12 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
Deep experience with safety-critical hardware and software systems in the defense or aerospace industry, with a preference for Weapon Systems, Aircraft, UAS, Maritime, Space or Rotorcraft
Expert-level knowledge of MIL-STD-882E and other relevant safety standards
Demonstrated experience establishing System Safety Engineering frameworks across multiple products or programs, including early-stage Design for Safety and Hazard Analysis
Expert background in safety analysis techniques including FTA, FHA, SCFTA, and FMECA
Experience with requirements decomposition for Safety at the system-of-systems level
Failure investigation/analysis experience with a proven track record of solving problems and preventing reoccurrence
Extensive Design Review experience (PDR, CDR, MRR) and confident presentation skills across all levels of leadership, including executives and external stakeholders
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

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Toolchain / Digital Design Engineer

Southeastern Cyber LLC

Atlanta, GA 30332

Flexible Schedule

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Associate, Manufacturing Engineer

L3 Harris

Alpharetta, GA 30022

~ 36 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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New, Posted 1 day ago

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Manufacturing Engineer - Level 2

Lockheed Martin

Marietta, GA 30063

~ 17 min OnsiteFlexible SchedulePaid Time Off

MUST BE A U.S. CITIZEN
Bachelors degree required to apply with two years of professorial experience
Experience utilizing and interpreting engineering documents including blueprints and specifications
Experience with Microsoft Office programs (i.e. Word, Excel, and PowerPoint)

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Structures Manufacturing Engineer

Hermeus

Atlanta, GA 30349

New, Posted 1 day ago

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Senior Java/ Machine Learning Engineer (Supply Chain & Fulfillment)

Marathon TS

Atlanta, GA 30349

New, Posted 9 hours ago

Manager, AI Engineer

KPMG

Atlanta, GA 30306

~ 28 min 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

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Machine Learning Lead Engineer

Cox Automotive

Stone Mountain, GA 30083

~ 48 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.