628 Engineering Manager jobs in Snellville,GA

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Systems Engineering Manager - Lithium Battery Products

Stryten Energy

Alpharetta, GA 30005

~ 39 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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Electrical Engineering Manager

Trenton Systems

Duluth, GA 30096

~ 28 min Onsite

Bachelor's or Master's degree in Electrical Engineering or related field.
8+ years of experience in PCBA design and manufacturing, with at least 3 years in a leadership role.
Proficiency in ECAD tools (e.g., Altium, Cadence, Mentor).
Strong understanding of signal integrity, power delivery, and EMI/EMC considerations.
Experience with high-speed digital, analog, and mixed-signal designs.
Excellent communication, organizational, and leadership skills.

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Manager, Platform Engineering

Cargill

Grayson, GA 30017

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HVAC Project Manager / Project Engineer

Johnson Controls

Atlanta, GA 30349

~ 42 min OnsitePaid Time Off

Experience managing technical teams supporting mechanical, electrical, plumbing, HVAC or other technical building trades
Experience managing multiple projects and competing priorities simultaneously.
Strong experience with project scheduling and coordination for labor and materials.
Strong verbal and written communication skills. Must have the ability to communicate technical material to a non-technical audience.
Strong personal computer working capabilities in MS Office (Excel, Word, PowerPoint) and basic Windows environment.
Ability to obtain and maintain required government security clearances as needed. (This involves a background/character, criminal history, employment, and credit check.)

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Staff Reliability Engineer

Anduril Industries

Atlanta, GA 30349

~ 42 min OnsiteHealth Insurance

Minimum of 12 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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Director, AI Engineer

KPMG

Atlanta, GA 30349

~ 42 min OnsiteHealth InsuranceRetirement Benefit

Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology, including leadership roles in consulting or technology organizations; AI certifications (for example: Professional AI Architect, Machine Learning Engineer) or equivalent are a plus
Advanced degree from an accredited college or university in computer science, data science, engineering, or related field preferred; minimum of a Bachelor's degree from an accredited college or university is required
Deep knowledge and hands-on experience with Microsoft, AWS, and/or Google Cloud's AI ecosystem (including agent build functionality) to design and orchestrate intelligent multi-agent systems such as chatbots and virtual assistants that handle complex, dynamic tasks and conversations
Proficient in architecting and implementing AI-powered workflow solutions using Microsoft, AWS, or Google Cloud services (For example: Foundry, Bedrock, Vertex AI), with capabilities in defining blueprints and technical requirements for scalable, automated systems with expertise in agentic AI and automation
Skilled in designing multi-agent conversational AI systems integrated with enterprise applications (CRM, ERP), enhancing customer engagement through smart chatbots and virtual agents to improve user experience and operational efficiency; experienced in conversational AI integration
Deep understanding of scaling AI-driven solutions, ethical AI, and MLOps practices for maintaining models; ability to bring industry consulting insights with a balance of technical and business acumen to deliver strategic, value-driven AI solutions; In-depth knowledge of AI orchestration and best practices
Travel as needed
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 (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

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Operations Manager

Golden State Foods

Conyers, GA 30013

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Machine Learning Lead Engineer

Cox Automotive

Stone Mountain, GA 30083

~ 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.