856 Process Engineer Engineering jobs in Atlanta,GA

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Manufacturing Engineering Manager

Lockheed Martin - Marietta, GA

Manufacturing Engineering Manager

~ 22 min OnsiteFlexible Schedule

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Systems Safety Engineer

Anduril Industries

Atlanta, GA 30349

OnsiteUrgently HiringHealth Insurance

Minimum of 5 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
Familiarity with MIL-STD-882E and other relevant safety standards
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
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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New, Posted 21 hours ago

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Associate, Manufacturing Engineer

L3 Harris

Alpharetta, GA 30022

~ 31 min OnsiteUrgently HiringBilingual 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.

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New, Posted 1 day ago

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2027 Manufacturing Engineer Intern

Anduril Industries

Atlanta, GA 30349

OnsiteUrgently HiringHealth Insurance

Pursuing a Bachelors in Aerospace Engineering, Mechanical Engineering, or any related field
Must be a rising senior at the time of the internship and returning to school at the end of the internship to continue academic studies for at least one quarter/semester.
U.S. Person status is required as this position needs to access Controlled Unclassified Information.

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Manufacturing Engineer - Electrical Planner Level 2

Lockheed Martin

Marietta, GA 30063

~ 22 min OnsiteUrgently HiringFlexible Schedule

MUST BE A U.S. CITIZEN
Experience reading, analyzing, and applying blueprints, schematics, and tool design documentation to support manufacturing processes.
Experience with the standard planning workflows, work instructions, and documentation required for fabrication, assembly, and installation activities.
Experience of common fabrication methods (e.g., machining, welding, additive manufacturing, sheet metal forming, wire harnesses development) and the associated procedural controls.
Experience creating, reviewing, and validating BOMs, ensuring accurate part counts, material specifications, and cost data for downstream activities.

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Analytics Engineer

Cox Automotive

Conley, GA 30288

~ 28 min OnsiteFlexible SchedulePaid 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.
Must live within a commutable distance to the Atlanta office
Bachelors Degree and 6+ years experience or 18 years related experience
Intermediate SQL programming skill
Intermediate knowledge of SQL-based relational databases
Previous experience with ETL processing of big data
Required: 6+ years experience with SQL-based relational databases (e.g., Athena, Redshift, Snowflake).
Required: 6+ years experience with BI Tools (e.g., Microsoft Power BI, Domo, Tableau).
Required: Microsoft Office Suite, specifically strong Excel proficiency.
Familiarity with version control systems (e.g., GitHub) and CI/CD workflows for data pipeline deployment
Experience with or willingness to learn Snowflake data platform capabilities, including Cortex AI features for semantic layer and natural language analytics.
Must be able to learn and use AI/GenAI capabilities as part of the analytics operations workflow, including leveraging large language models for code generation, documentation, data quality analysis, and process automation.
Must be able to travel by land and/or air for same-day or overnight business trips (up to 5%).
Must be able to work directly with vendors to resolve issues, to drive technological advances, and on long-term projects/initiatives.
Must be able to learn and use analytics and other relevant technologies (e.g., web analytics tools, SQL-based databases, data visualization software, AI/GenAI capabilities).

SmartExplore AI is experimental.

New, Posted 3 hours ago

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Systems Engineering Manager - Lithium Battery Products

Stryten Energy

Alpharetta, GA 30005

~ 31 min OnsiteUrgently Hiring

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 21 hours ago

Manager, AI Engineer

KPMG

Atlanta, GA 30303

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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Analytics Engineer

Cox Automotive

Union City, GA 30291

~ 37 min OnsiteFlexible SchedulePaid 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.
Must live within a commutable distance to the Atlanta office
Bachelors Degree and 6+ years experience or 18 years related experience
Intermediate SQL programming skill
Intermediate knowledge of SQL-based relational databases
Previous experience with ETL processing of big data
Required: 6+ years experience with SQL-based relational databases (e.g., Athena, Redshift, Snowflake).
Required: 6+ years experience with BI Tools (e.g., Microsoft Power BI, Domo, Tableau).
Required: Microsoft Office Suite, specifically strong Excel proficiency.
Familiarity with version control systems (e.g., GitHub) and CI/CD workflows for data pipeline deployment
Experience with or willingness to learn Snowflake data platform capabilities, including Cortex AI features for semantic layer and natural language analytics.
Must be able to learn and use AI/GenAI capabilities as part of the analytics operations workflow, including leveraging large language models for code generation, documentation, data quality analysis, and process automation.
Must be able to travel by land and/or air for same-day or overnight business trips (up to 5%).
Must be able to work directly with vendors to resolve issues, to drive technological advances, and on long-term projects/initiatives.
Must be able to learn and use analytics and other relevant technologies (e.g., web analytics tools, SQL-based databases, data visualization software, AI/GenAI capabilities).