784 Software Engineer Programmer jobs in Acworth,GA

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Reliability Engineer

Anduril Industries

Atlanta, GA 30349

~ 39 min OnsiteHealth Insurance

Minimum of 5 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

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Senior Software Engineer

CIENA

Atlanta, GA 30349

Flexible Schedule

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Systems Engineer Stf - Level 4

Lockheed Martin

Marietta, GA 30063

Paid Relocation to Marietta, GA

~ 18 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

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Systems Engineering Manager - Lithium Battery Products

Stryten Energy

Alpharetta, GA 30005

~ 48 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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ASIC Engineer

Falcomm

Atlanta, GA 30349

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Senior Associate, ServiceNow Software Asset Management (SAM)

KPMG

Atlanta, GA 30349

~ 39 min OnsiteHealth InsuranceRetirement Benefit

Minimum of three years of experience with techniques such as assessing and planning IT capabilities, IT cost and performance management, IT solutions architecture, portfolio, program and project management, and transformational change
Bachelor's degree in Computer Science, Computer Engineering or related technical field from an accredited college/university
Deep understanding and hands-on experience with ServiceNow Software Asset Management (SAM), in addition to broader ServiceNow, IT management, enterprise strategy, IT supply chain, and information management disciplines
Experience in IT process improvement within your own organization or as an external consultant
Strong business, technical, analytical, problem-solving, and verbal and written communication skills

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Controls Engineer

Geiger

Atlanta, GA 30301

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Principal Engineer, Mechanical

Constellation Energy

Atlanta, GA 30315

~ 39 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in engineering (Chemical, Civil/Structural, Electrical, Industrial, or Mechanical) with 10 years professional experience
Maintain minimum access requirements, as applicable, and favorable medical examination and/or testing in accordance with position duties

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Machine Learning Lead Engineer

Cox Automotive

Marietta, GA 30062

~ 18 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.