466 Cybersecurity Engineer jobs in Cumming,GA

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Cybersecurity Assessment & Authorization SME

Connected Logistics - Cumming, GA

Cybersecurity Assessment & Authorization SME

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Embedded Systems Engineer

Stryten Energy

Alpharetta, GA 30005

~ 20 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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Nuclear Engineer

US Navy

Cumming, GA 30040

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Manufacturing Engineer

ZF Group

Gainesville, GA 30506

~ 34 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

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

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Electrical Engineering Manager

Trenton Systems

Duluth, GA 30096

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Machine Learning Lead Engineer

Cox Automotive

Sandy Springs, GA 30350

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.

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Embedded Computing Architect

ELMA Electronic

Lawrenceville, GA 30043

~ 41 min Onsite

Embedded Computing Architect
Architect and configure embedded computing solutions aligned to customer technical and program requirements
Translate mission requirements into practical system architectures using VPX, VME, and CompactPCI platforms
Experience with embedded computing architectures (VPX, VME, CompactPCI)
Strong understanding of open standards (VITA, SOSA) and rugged system design
Experience supporting pre-sales, proposals, or customer-facing engineering roles
Background in aerospace, defense, or rugged embedded systems preferred
This is an onsite role, in Lawrenceville, GA

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