833 Integration Engineer jobs in Atlanta,GA

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Manufacturing Engineer - Level 2

Lockheed Martin

Marietta, GA 30063

~ 22 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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Staff System Safety Engineer

Anduril Industries

Atlanta, GA 30349

OnsiteHealth Insurance

Minimum of 12 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
Deep 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
Expert-level knowledge of MIL-STD-882E and other relevant safety standards
Demonstrated experience establishing System Safety Engineering frameworks across multiple products or programs, including early-stage Design for Safety and Hazard Analysis
Expert background in safety analysis techniques including FTA, FHA, SCFTA, and FMECA
Experience with requirements decomposition for Safety at the system-of-systems level
Failure investigation/analysis experience with a proven track record of solving problems and preventing reoccurrence
Extensive Design Review experience (PDR, CDR, MRR) and confident presentation skills across all levels of leadership, including executives and external stakeholders
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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Embedded Systems Engineer

Stryten Energy

Alpharetta, GA 30005

~ 31 min Onsite

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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Sr. Platform Engineer - ServiceNow

Cargill

Atlanta, GA 30334

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Electrical Engineering Manager

Trenton Systems

Duluth, GA 30096

~ 31 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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Machine Learning Lead Engineer

Cox Automotive

Scottdale, GA 30079

~ 24 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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Senior Associate, Privileged Access Management Delivery Engineer

KPMG

Atlanta, GA 30349

OnsiteHealth InsuranceRetirement Benefit

Minimum three years of recent professional experience in Identity & Access Management, Privileged Access Management, or cybersecurity
Bachelor's degree from an accredited college or university
Hands on experience with Privileged Access Management delivery and engineering, with specific experience using CyberArk On-Prem and SaaS solutions
Familiarity with infrastructure administration (such as Windows, Linux, Databases), networking basics, and IT architecture principles
Experience supporting PAM integrations within cloud platforms such as Azure, AWS, or GCP
Proficiency with scripting, automation integrations, infrastructure-as-code, and configuration management
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
Ability to travel as required

SmartExplore AI is experimental.

New, Posted 4 hours ago

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