617 Embedded Systems Engineer Ii Engineering jobs in Riverdale,GA

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Senior Reliability Engineer

Anduril Industries

Atlanta, GA 30349

~ 33 min OnsiteHealth Insurance

Minimum of 8 years experience as a Reliability Engineer, Design/Development Engineer, or Test Engineer
B.S. Degree in Mechanical Engineering, Aerospace Engineering, Systems Engineering, or equivalent technical discipline
Experience with safety-critical hardware & software systems in the defense or aerospace industry
Experience or familiarity with MIL-STD-810, MIL-HDBK-217, MIL-STD-461, MIL-STD-516C, and MIL-STD-1629
Experience setting up a Reliability Engineering framework for a product or program, including support of production testing, field testing, data acquisition, and data analysis
Expertise in reliability analysis techniques, including FMEA/FMECA, predictive modeling, Weibull analysis, and Fault Tree Analysis
Experience with generating qualification testing requirements and executing tests to proactively characterize product behavior and performance
Failure investigation/analysis experience with proven track record of solving problems and preventing reoccurrence
Design Review Experience (PDR, CDR, MRR) and confidence in presentation skills across all levels of leadership
Eligibility to obtain/maintain a U.S. Secret clearance, as required

SmartExplore AI is experimental.

New, Posted 18 hours ago

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System Engineer 2 [211060]

Aquent Talent

Atlanta, GA 30349

$42/hr

Hybrid~ 33 minFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in a technical field such as electrical engineering, network engineering, computer science, or related field experience.
2-4 years of experience in a systems engineering, site engineering, or technical support role.
Proven experience setting up and troubleshooting wired and wireless networks.
Prior experience working on construction projects supporting electrical systems, networks, or building management systems.
Demonstrated understanding of construction site safety practices.
Ability to work efficiently, prioritize workflow, and meet demanding deadlines.
Strong collaborative skills to plan and execute key deliverables with teammates.
Willingness to travel occasionally to project sites for onsite support.
Crucially, candidates must possess hands-on test equipment or hardware experience; those with only software/programming experience will not be eligible.

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Senior Manufacturing Engineer, Digital Tools

Anduril Industries

Atlanta, GA 30349

~ 33 min OnsiteHealth Insurance

Bachelor's degree in Manufacturing Engineering, Industrial Engineering, Software Engineering, User Experience Design, or related field.
8+ years of experience in a digital manufacturing environment, including familiarity with MES, ERP, and PLM systems and how they interface with each other and with operations.
High sense of user empathy and the ability to manage and communicate with stakeholders.
Ability to quickly understand current operations and potential issues on the product line and can speak the language.
Strength working with manufacturing leadership to conceptualize solutions and gain / understand requirements
Excellent communication and presentation skills, capable of conveying complex information in an understandable manner.
Ability to work collaboratively in a team environment and lead cross-functional projects.
Adept at managing multiple priorities in a fast-paced manufacturing environment.
Must be a U.S. Person due to required access to U.S. export controlled information or facilities

SmartExplore AI is experimental.

New, Posted 13 hours ago

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Commissioning Engineer, AMER-Central ACx

Amazon Data Services

Atlanta, GA 30334

New, Posted 1 day ago

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Manufacturing Engineer II

Andersen Corporation

Locust Grove, GA 30248

New, Posted 1 day ago

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Toolchain / Digital Design Engineer

Southeastern Cyber LLC

Atlanta, GA 30332

Flexible Schedule

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Nuclear Engineer

U.S. Navy

College Park, GA 30349

New, Posted 1 day ago

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Design Engineer - AutoCAD

Kelly Services

Atlanta, GA 30309

$35/hr

New, Posted 1 day ago

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Hardware Integration Engineer (Bilingual Chinese)

Geekplus America

Atlanta, GA 30306

Bilingual Preferred

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Machine Learning Lead Engineer

Cox Automotive

Lake City, GA 30260

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.