582 Software Engineer Utility jobs in Canton,GA

New, Posted 15 hours ago

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Systems Engineering Manager - Lithium Battery Products

Stryten Energy

Alpharetta, GA 30005

~ 35 min Onsite

Bachelor of Science in Mechanical Engineering or Electrical Engineering (Required).
7-10 years of experience in product development, systems engineering, and product design.
5+ years of experience leading technical projects for cost, quality, and managing engineering teams.
Experience with lithium battery design, power electronics, or energy storage product development.

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New, Posted 15 hours ago

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Systems Engineer Stf - Level 4

Lockheed Martin

Marietta, GA 30063

Paid Relocation to Marietta, GA

~ 28 min OnsiteFlexible SchedulePaid Time Off

Bachelor's degree or higher in Engineering or Computer Science discipline.
Experience working proposals, contracts and/or process development and Improvement
Experience in Project Planning and/or Project Management
Experience communicating with multi-disciplined engineering teams
Experience working with Microsoft Project and/or One Plan
MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access. The selected candidate must be able to obtain a secret clearance.
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Top Secret

SmartExplore AI is experimental.

New, Posted 8 hours ago

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Embedded Systems Engineer

Stryten Energy

Alpharetta, GA 30005

~ 35 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

SmartExplore AI is experimental.

New, Posted 1 day ago

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Associate, Manufacturing Engineer

L3 Harris

Alpharetta, GA 30022

~ 35 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.

SmartExplore AI is experimental.

New, Posted 15 hours ago

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Chief Manufacturing Engineer - Producibility Owner - Level 6

Lockheed Martin

Marietta, GA 30063

~ 28 min OnsiteFlexible SchedulePaid Time Off

Bachelor's Degree Required: Aerospace Engineering, Mechanical Engineering, Manufacturing Engineering, or related field
Proven Experience Leading Producibility Reviews and DFM including in depth knowledge of design principles and tools
Proven Experience with Manufacturing Process for Tool Controlled Aircraft Assembly
Previous experience in a Production Engineering discipline
Experience interacting with Senior Level Leaders, including creating and briefing presentations
Active DoD Clearance with an Investigation within the last 5 years
MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access.
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Secret

SmartExplore AI is experimental.

New, Posted 23 hours ago

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Nuclear Engineer

U.S. Navy

Woodstock, GA 30188

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Design Engineer II

TRC Talent Solutions

Johns Creek, GA 30024

No Experience

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Machine Learning Lead Engineer

Cox Automotive

Marietta, GA 30062

~ 28 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.