708 Embedded Engineer jobs in Norcross,GA

Embedded Systems Engineer

Stryten Energy

Alpharetta, GA 30005

~ 28 min OnsiteUrgently Hiring

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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Embedded Computing Architect

ELMA Electronic

Lawrenceville, GA 30043

~ 20 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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FPGA Embedded Software Engineer

Trenton Systems

Duluth, GA 30096

~ 18 min Onsite

BS in Computer Engineering or Computer Science, or equivalent
5+ years in software and firmware engineering, particularly FPGA
Exceptional Communication skills
Proven ability to complete software and firmware projects on-time and within budget
Attention to detail, including design documentation, data, and other collateral.
Technical ability to develop in various environments including Linux, Windows, and embedded environments.

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Senior System Safety Engineer

Anduril Industries

Atlanta, GA 30349

~ 24 min OnsiteHealth Insurance

Minimum of 8 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, with a preference for Weapon Systems, Aircraft, UAS, Maritime, Space, or Rotorcraft
Extensive knowledge of MIL-STD-882E and other relevant safety standards
Experience setting up a System Safety Engineering framework for a product or program, including early-stage Design for Safety and Hazard Analysis experience
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 across all levels of leadership
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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Manufacturing Engineer

ZF Group

Gainesville, GA 30506

~ 46 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

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

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Manufacturing Engineer - Level 2

Lockheed Martin

Marietta, GA 30063

~ 31 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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Controls Engineer

Geiger

Atlanta, GA 30301

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Machine Learning Lead Engineer

Cox Automotive

Marietta, GA 30062

~ 31 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.

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Manager, AI Engineer

KPMG

Atlanta, GA 30307

~ 24 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
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

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