operations engineer, operations engineering

senior data engineer

ai engineer

al/ml engineer, lead

manufacturing test engineer Jobs in Atlanta

manufacturing test engineer

operations engineer, operations engineering Jobs in Atlanta

senior reliability engineer

Anduril

<div><div>Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.</div><h3 class="jobSectionHeader">
ABOUT THE TEAM</h3>

The Reliability Engineering team partners across Anduril's engineering, manufacturing, and operations organizations to ensure our autonomous systems survive real-world conditions and deliver consistent performance for our customers. Our mandate spans the complete product lifecycle - from early concept design through production scale-up and fielded operations. We use data, statistical methods, and engineering analysis to forecast how our systems will perform over time and influence design decisions, including part selection, redundancy strategies, and maintenance approaches. We establish tailored reliability frameworks by program and partner with Quality to drive design robustness, failure prevention, and rapid response to issues in the field. 
<h3 class="jobSectionHeader">
ABOUT THE JOB</h3>

Anduril's Reliability &amp; System Safety Engineering organization is hiring Reliability Engineers across our product portfolio. Domains may include Air Dominance &amp; Strike, Counter-UAS, Maritime, Ground Systems, Space, and Mission Autonomy. These are highly collaborative, hands-on roles spanning the entire product lifecycle - from early concept trade studies and detailed design through manufacturing scale-up, production, and sustained field performance. You'll be the reliability champion throughout the design and development process, working closely with mechanical, electrical, and software engineering teams to ensure designs are robust. You'll also partner with manufacturing, quality, test operations, and field service teams to transition these products from engineering prototypes to production-ready systems. Your scope will span performing predictive reliability analysis and FMEAs, developing and executing qualification and production test plans, leading root-cause failure investigations from both the factory floor and the field, and closing the loop to drive continuous design and process improvements. We are looking for candidates who bring deep technical knowledge of hardware reliability and failure mechanisms, practical experience in both design and production environments, and the ability to drive cross-functional alignment without direct authority. These roles demand independent, data-driven engineers who can build reliability infrastructure from the ground up and take ownership of product performance from concept to deployment. 
<h3 class="jobSectionHeader">
WHAT YOU'LL DO</h3>
<ul><li>Support and review system block diagrams, interface control documents, and schematics for compliance, redundancy, and accuracy against requirements and concept of operations.</li>
<li>Lead Failure Modes &amp; Effects Analysis (FMEA) and Fault Tree Analysis (FTA) efforts, collaborating with cross-functional engineering teams to implement design improvements.</li>
<li>Perform predictive reliability analysis to calculate probability of loss of control, loss of asset, and MTTF/MTBF utilizing Anduril requirements, specifications, and relevant industry standards (i.e. MIL-HDBK-217Plus).</li>
<li>Develop and execute comprehensive Qualification and Validation Test plans (including environmental, life/limit, and accelerated testing) to ensure appropriate requirements coverage and de-risking for production readiness; partner with Test Engineering to fixture and instrument test campaigns.</li>
<li>Work with Quality and Manufacturing Engineering to develop, refine, and validate assembly, integration, and testing processes (including inspection/acceptance test gates) to optimize build reliability and reduce time-to-deploy.</li>
<li>Develop Maintainability prediction models using MIL-HDBK-472, and support the development of Preventative Maintenance &amp; Sparing plans.</li>
<li>Perform Weibull analysis utilizing data from qualification campaigns, production testing, and fielded assets to predict failures and identify trends.</li>
<li>Lead failure investigations on anomalies originating from design validation, production testing, and field returns; drive root cause analysis and corrective/preventative actions (CAPA) to closure.</li>
<li>Support Development Milestone Reviews through the identification of appropriate entry and exit criteria, guiding the transition of designs from engineering development to high-rate production.</li>
<li>Develop and implement standardized reliability processes, tools, and infrastructure to streamline and accelerate our design, manufacturing, and deployment operations.</li>
</ul><h3 class="jobSectionHeader">REQUIRED QUALIFICATIONS</h3>
<ul><li>Minimum of 8 years experience as a Reliability Engineer, Design/Development Engineer, or Test Engineer</li>
<li>B.S. Degree in Mechanical Engineering, Aerospace Engineering, Systems Engineering, or equivalent technical discipline</li>
<li>Experience with safety-critical hardware &amp; software systems in the defense or aerospace industry</li>
<li>Experience or familiarity with MIL-STD-810, MIL-HDBK-217, MIL-STD-461, MIL-STD-516C, and MIL-STD-1629</li>
<li>Experience setting up a Reliability Engineering framework for a product or program, including support of production testing, field testing, data acquisition, and data analysis</li>
<li>Expertise in reliability analysis techniques, including FMEA/FMECA, predictive modeling, Weibull analysis, and Fault Tree Analysis</li>
<li>Experience with generating qualification testing requirements and executing tests to proactively characterize product behavior and performance</li>
<li>Failure investigation/analysis experience with proven track record of solving problems and preventing reoccurrence</li>
<li>Design Review Experience (PDR, CDR, MRR) and confidence in presentation skills across all levels of leadership</li>
<li>Eligibility to obtain/maintain a U.S. Secret clearance, as required</li>
</ul><h3 class="jobSectionHeader">PREFERRED QUALIFICATIONS</h3>
<ul><li>M.S. Degree in Mechanical Engineering, Aerospace Engineering, Systems Engineering, or equivalent technical discipline</li>
<li>Experience with MIL-HDBK-217Plus, MIL-HDBK-472, MIL-STD-1916</li>
<li>Experience with Manufacturing Readiness Level (MRL) Assessments, Manufacturing Review Board (MRB), Quality Inspection, Tooling, or Calibration</li>
<li>Experience with risk management, change control/change management reviews, and software/firmware HITL/SITL</li>
<li>Experience with HALT (Highly Accelerated Life Testing), HASS (Highly Accelerated Stress Screening), Environmental Testing, and/or Mechanical Testing</li>
<li>Technical writing experience developing requirements, standards, specifications, user guides, and policies</li>
</ul><div>
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: 

<h3 class="jobSectionHeader">
Benefits</h3>

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. 

<div>
<h3 class="jobSectionHeader">Protecting Yourself from Recruitment Scams</h3>

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
</div>
<div>To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
<ul>
<li>No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
</li>
<li>Please always verify communications:
<ul><li>Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.</li>
<li>Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.</li>
</ul>
</li><li>Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
</li>
<li>What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.</li> 
</ul>
</div><h3 class="jobSectionHeader">Data Privacy</h3>

To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. 


By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.</div></div>

Senior Reliability Engineer

Shift4

<div>Shift4 (NYSE: FOUR) is boldly redefining commerce by simplifying complex payments ecosystems across the world. As the leader in commerce-enabling technology, Shift4 powers billions of transactions annually for hundreds of thousands of businesses in virtually every industry. For more information, visit www.shift4.com. 
As an AWS Cloud Data Engineer, you will use your experience in cloud data engineering and Redshift, AWS Glue, Lambda, and DMS Kinesis technologies first and foremost - being responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization&rsquo;s data-driven initiatives. We seek self-driven and motivated individuals who take ownership of their projects. You will collaborate closely with cross-functional teams including project managers, business analysts, and software engineers to ensure the availability, reliability, and scalability of our system.
This role is onsite and can be based at any of the following Shift4 locations: USA: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA 
Canada: Vancouver, BC / Toronto, ON
Hours: Day shift 
Responsibilities
Technology:<ul><li>
Work hands on within the cloud data platform to deliver new features, fix issues and ensure best practices.</li><li>
Contribute to the technical design and architecture development for parts of the solution. Ensure that best practices are defined and adhered to</li><li>
Diagnose and resolve issues with deployed systems (as part of level 3 support).</li><li>
Become technically solid for the cloud data platform.</li><li>
Evaluate and resolve technical debt, engage in platform modernization and build reliable features.</li><li>
Recommend and implement best practices and standards for the cloud data platforms.</li></ul>
People and Leadership<ul><li>
Work closely with multiple engineering teams, product owners and stakeholders to understand needs and meet data requirements.</li><li>
Interface across multiple engineering teams and engineering groups working on various parts of the platform.</li><li>
Mentor and develop junior team members.</li></ul>
Process<ul><li>
Ensure efficient operation of Scrum within the team.</li><li>
Analyze and update tools and processes when required.</li><li>
Measure key team metrics.</li></ul>
Qualifications<ul><li>
Bachelors or Masters degree in Computer Science, Information Systems, or a related field. Experience in lieu of a degree may be considered.</li><li>
3+ years of experience in cloud data engineering.</li><li>
2+ years working with AWS services including Redshift, AWS Glue, Lambda, DMS, Kinesis, etc.</li><li>
1+ years working with ETL tools (MS SSIS or similar).</li><li>
Significant hands-on experience working with databases, schemas, complex queries, data modeling, stored procedures, etc. (MS SQL Server, Postgres and Redshift preferred).</li><li>
Excellent communication skills in English, with the ability to collaborate effectively with cross-functional teams and stakeholders.</li></ul>
Additional experience that is a plus to have:<ul><li>
AWS Certified Data Engineer &ndash; Associate</li><li>
AWS Certified Cloud Practitioner</li><li>
AWS Certified AI Practitioner</li></ul> 
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.</div>

AWS Cloud Data Engineer

The Home Depot

Position Purpose: Distinguished Engineers are recognized as experts in one or more domains within Home Depot and across the industry. They represent the senior technical experts within the organization and have a strong track record of growing and influencing others. Distinguished Engineers will connect teams to one another in a spirit of collaboration and will champion opportunities to make teams more efficient. As a Distinguished Engineer, you will be responsible helping to shape the go-forward direction of the organization; working with senior leaders, vendors, and partners to influence technology roadmaps and the adoption of new technologies across the enterprise. In addition, you will teach, mentor, and grow other domain experts within the organization. Key Responsibilities: 30% Strategy &amp; Planning: Works with senior leaders to shape the go-forward vision for the organization from a specific domain perspective Works with vendors and partners on the successful strategy, planning, and implementation of critical tooling and platforms Participates in and influences development of technology roadmaps across the enterprise Evaluates new technologies for adoption across the enterprise Drives thought leadership and innovation within the organization 30% Support &amp; Enablement: Fields questions from product, project and support teams Evangelizes successful usage of tooling and technologies with teams Monitors tools and leads conversations to encourage collaboration across product teams Learns, through reading, tutorials, relationships, and videos, new technologies and best practices being used in other organizations 25% Delivery &amp; Execution: Teaches, mentors, grows, and advises other domain experts in the organization (including direct reports, if applicable) Documents, reviews and ensures that all quality and change control standards are met Works with vendors and partners on the successful planning and implementation of critical tooling and platforms Understands and articulates the value creation and business proposition to teams and functional partners Participates in and leads review board sessions to drive consistency across the enterprise 15% People: Acts as a point of escalation for teams facing extremely complex challenges Participates in and leads learning activities within the organization Connects teams facing similar challenges and problems to encourage consistency Presents at and attends conferences and learns how to apply new technologies and concepts Capable of jumping into a variety of teams to resolve issues Provides leadership, mentoring, and coaching to direct reports (if applicable) Conducts annual and mid-year reviews, reviewing individual development plans and providing performance feedback (if applicable) Attracts, retains, develops, and motivates top talent (applicable if incumbent has direct reports) Direct Manager/Direct Reports: This role typically reports to Sr. Director or Vice President and may have a small number of non-manager direct reports with VP approval. Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Must be legally permitted to work in the United States Preferred Qualifications: Executive Technical Leadership: 12+ years of progressive engineering experience, with a proven track record as a Distinguished Engineer, Principal Architect, or Director-level technical leader overseeing large-scale, complex enterprise architectures. Domain Expertise (MarTech, Retail Media, &amp; Loyalty): Deep technical domain expertise in building and scaling high-throughput Marketing Technology stacks, Retail Media Networks (RMNs), and omnichannel loyalty platforms within a multi-billion $ retail or e-commerce ecosystem. AI Strategy &amp; Enablement: Demonstrated experience leading an organization through the adoption, scaling, and governance of AI/ML technologies (including GenAI, predictive personalization, and automated content generation) to drive customer engagement and ad-yield optimization. Advanced People Leadership: Proven success as a people leader managing senior technical talent, with the unique ability to inspire, mentor, and elevate a team of high-performing Senior Principal Engineers Enterprise Architecture &amp; Governance: Expert-level mastery of enterprise architecture frameworks, governance, and industry best practices, ensuring decentralized engineering teams build scalable, resilient, and compliant solutions that align with broader corporate standards. Data Infrastructure &amp; Privacy Integration: Advanced knowledge of Customer Data Platforms (CDPs), data clean rooms, identity resolution, and real-time data streaming pipelines, combined with a strict adherence to modern data privacy regulations and security guardrails. Cloud-Native &amp; Distributed Systems: Extensive hands-on experience designing and operating cloud-native architectures (GCP, Azure, AWS) and microservices capable of supporting millions of daily active users and processing massive datasets. Executive Influence &amp; Strategic Alignment: Exceptional communication skills with a track record of bridging the gap between deeply technical engineering teams and executive business stakeholders (such as Product, Marketing, and Retail Operations) to turn business vision into technical reality. Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 8 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs (applicable if incumbent has direct reports) Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals (applicable if incumbent has direct reports) Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Courage: Stepping up to address difficult issues, saying what needs to be said Cultivates Innovation: Creating new and better ways for the organization to be successful Decision Quality: Making good and timely decisions that keep the organization moving forward Develops Talent: Developing people to meet both their career goals and the organization's goals (applicable if incumbent has direct reports) Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives (applicable if incumbent has direct reports) Drives Results: Consistently achieving results, even under tough circumstances Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Global Perspective: Taking a broad view when approaching issues; using a global lens Manages Complexity: Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies Tech Savvy: Anticipating and adopting innovations in business-building digital and technology applications Apply End Date: 07/29/2026

Distinguished Engineer - Orange Apron Media

Booz Allen Hamilton

<div>AL/ML Engineer, Lead
The Opportunity:
As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support public health and safety. As an ML engineer on our team, you&rsquo;ll train, test, deploy, and maintain models that learn from data.
In this role, you&rsquo;ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You&rsquo;ll be part of a large community of ML engineers across the company and collaborate with data engineers, data scientists, solutions architects, enterprise architects, and product owners to deliver world-class solutions. You&rsquo;ll help design and develop enterprise ML operations frameworks, support mentorship and training initiatives, process data and information at a massive scale, and perform A/B testing tasks on statistical models, ML algorithms, and systems.
Your advanced skills and technical expertise will guide clients as they navigate the evolving landscape of ML, Generative AI, AI agents, and retrieval-augmented generation (RAG) technologies. This position is located in Atlanta, GA.
What You'll Work On:<ul><li>
Build and maintain complex data pipelines using PySpark and Palantir Foundry to support AI and analytical workloads.</li><li>
Design and implement ML workflows, including Generative AI, AI agents, MCP-enabled systems, and RAG pipelines for public health use cases.</li><li>
Develop robust AI evaluation strategies to ensure the quality, reliability, and performance of deployed AI solutions.</li><li>
Design AI architectures supporting agent memory, state management, retrieval optimization, and interaction with structured and unstructured public health data.</li><li>
Collaborate with cross-functional teams to translate mission requirements into scalable AI/ML solutions while maintaining technical documentation and governance standards.</li><li>
Define and enforce data quality, privacy, anonymization, auditing, and ethical AI standards in compliance with public health and government requirements.</li></ul>
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
5+ years of experience designing, developing, and deploying ML models and AI solutions using Python</li><li>
5+ years of experience with Generative AI, LLMs, AI agents, or RAG applications in enterprise environments</li><li>
Experience developing AI evaluation strategies and working with MCP-enabled systems</li><li>
Experience with ML frameworks and libraries such as TensorFlow or PyTorch</li><li>
Experience with data engineering using PySpark, SQL, and Palantir Foundry, including Foundry AIP</li><li>
Experience with Prompt Buddy, Codex, Claude, or OpenEvidence in enterprise environments</li><li>
Experience deploying ML solutions at scale using MLOps tools such as MLflow, and cloud platforms such as Azure, Databricks, or Domino</li><li>
Ability to implement AI agent architectures, retrieval optimization, and memory or state management workflows</li><li>
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements</li><li>
Bachelor's degree in CS, Engineering, or Data Science</li></ul>
Nice If You Have:<ul><li>
Experience with open-source LLMs such as LLaMA, Gemma, or Phi</li><li>
Experience in deep learning, NLP, conversational AI, or computer vision</li><li>
Experience supporting healthcare, biomedical, or public health AI/ML initiatives and government public health data systems</li><li>
Experience with chatbot development or end-to-end AI application deployment</li><li>
Experience with containerization, orchestration, CI/CD, and full-stack ML application deployment</li><li>
Experience working in Agile environments using tools such as Jira</li><li>
Experience writing technical documentation and presenting technical solutions to broad audiences</li><li>
Ability to collaborate effectively in matrixed environments with cross-functional stakeholders</li><li>
Master&rsquo;s degree</li></ul>
Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $128,700.00 to $292,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.<ul><li>
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</li><li>
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</li><li>
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

AL/ML Engineer, Lead

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Electrical Engineering, Computer Science, or equivalent engineering experience.
 </li>
 <li>
 5 years of experience in test engineering or equivalent.
 </li>
 <li>
 Experience developing and integrating manufacturing test hardware using custom electronics, fixturing, and instrumentation.
 </li>
 <li>
 Experience of coding in Python, Bash, and Shell scripting to generate product-specific test plans and executing test processes accordingly.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Experience with manufacturing, functional, and RMA/failure analysis testing for server, storage, and networking products (liquid- or air-cooled).
 </li>
 <li>
 Experience in establishing system calibration, gauge Repeatability and Reproducibility (R&amp;R), and correlation study for each change management.
 </li>
 <li>
 Experience with test stations bringing-up, calibration and setup for production test purposes.
 </li>
 <li>
 Experience with design for test (DfT) and System level Functional Test (L6/L10).
 </li>
 <li>
 Knowledge with the Linux operating system and command line tools.
 </li>
 <li>
 Ability to drive continuous improvement of test systems and processes for increased manufacturability.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&amp;D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability.
 
 
 As a Manufacturing Test Engineer, you will develop, enhance and sustain manufacturing test processes, tools and procedures for manufacturing operation of products to be deployed at Google Data Center. When vendors build parts for our infrastructure, you&rsquo;ll be right there alongside ensuring manufacturing test processes are repeatable and controlled.
 
 
 In this role, you'll collaborate with the New Product Introduction (NPI) engineers, hardware/software Design Engineers and Quality Engineers to drive continuous improvements to products and manufacturing processes. Your work will ensure the various pieces of Google&rsquo;s infrastructure fit together perfectly and keep our systems humming along smoothly for a seamless user experience.
 
 
 Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.
 
 
 Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
 US: $120000 - $172000 (USD) + 15% bonus target + bonus + equity + benefits
 
 
 
 Responsibilities
 
 
 
 Learn more about benefits at Google .
 
 
 <ul>
 <li>
 Design, build, optimize and deploy server test platforms for Google compute/storage/ML server at the global manufacturing partner factory with focus on RMA/Refin/Dekit second source.
 </li>
 <li>
 Partner with the NPI team to define design for test (DFT) requirements and provide input to Manufacturing Test Strategy.
 </li>
 <li>
 Provide caliber manufacturing test engineering support for new and existing products.
 </li>
 <li>
 Drive initiatives to improve test process efficiencies, improve test coverage, and reduce cost.
 </li>
 <li>
 Analyze, troubleshoot and root cause of manufacturing yield issues and data center field escapes. Drive sustaining test issues to closure with corrective and preventive measures.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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Manufacturing Test Engineer

Position Purpose: The Sr. Product Engineer is a business partner to merchandising team managing and supporting private brands engineering projects. The engineer will partner with internal teams to complete benchmarking, product requirement development, and resolution of product performance concerns for assigned product categories. The engineer will also utilize Bill of Materials as well as internal tools and data to understand raw material, manufacturing, labor, logistics, business and all total cost involved in manufacturing and shipping product. The engineer is responsible for conducting engineering evaluations to determine component and complete product assembly costs for Home Depot Products. Having good business acumen and financial knowledge of key terms will aid the engineer in relating the information to the Merchant community in a constructive and collaborative manner. The engineer works in a team environment as an individual contributor. Key Responsibilities: 50% Engineering project management including benchmarking, product requirement development, and test protocol development 30% Conduct financial and value based calculations, summarize the findings for the business in presentation quality format and communicate findings to key stakeholders 10% Complete resolution of product performance concerns 10% Provide general product Engineering guidance and knowledge or evaluations as required to deliver short term business goals Direct Manager/Direct Reports: Position Reports to Engineering Manager Position has no direct reports. Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: Most all of the time is spent sitting in the same position or standing/walking or there is some requirement to lift or handle material or equipment of moderate weight (8-20 pounds). Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Mechanical or Electrical Engineering or equivalent in a field of study related to the job Masters of Business Administration Product costing experience Extensive understanding of Bills of Materials Knowledge of Merchandising Financial terms Knowledge of INCO shipping terms Experience working in a manufacturing and/or product development environment including design for reduced Manufacturing and Assembly costs Experience working with OEM suppliers through the product development cycle Experience working with vertically integrated manufacturers Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 5 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Excellent communication skills Ability to work in cross-functional team environment Business acumen and understanding of Merchandising Ability to use standard hand tools and lab equipment such as technical measuring equipment, power tools and pneumatic tools. Proficient with Microsoft Excel and PowerPoint Ability to use costing software such as Boothroyd Dewhurst DFM/DFMA Demonstrated manufacturing knowledge in areas such as plastics, metals, glass, wood, textiles and Printed Circuit boards

Sr. Product Engineer

The Coca-Cola Company

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 Digital products play a central role in how we create value for customers, support the teams who serve them, and shape the consumer experience.
 
 
 Our product and engineering organizations bring together small, empowered teams that move with clarity, speed, and purpose, enabling digital to be a meaningful source of advantage across Coca-Cola&rsquo;s North America Operating Unit.
 
 
 Our work spans customer journeys, service delivery, sales workflows, and the platforms that connect them. We are raising our standards for product craft and rebuilding the systems behind these experiences.
 
 
 As a Software Engineer, you will be a core contributor on an empowered product team, working closely with Product Management, Design, and fellow Engineers to build high-quality software that solves real customer problems. This role is for engineers who want to grow their craft, develop strong product instincts, and contribute to solutions&mdash;not just execute tasks.
 
 
 
 What You Will Work On
 
 
 
 At Coca-Cola, engineers have the opportunity to build products at meaningful scale&mdash;shaping the digital experiences, platforms, and intelligent systems that power how we serve customers, enable field teams and partners, support sales, and drive transaction growth across one of the world&rsquo;s most recognized brands. Depending on the team, you could work on connected service tools that improve resolution speed and reliability, data and API platforms that unlock growth and decisioning, customer and operational experiences that reduce friction across workflows, or sales products that equip teams with better visibility, insights, and execution capabilities. This is a chance to join at a pivotal moment: helping define modern engineering practices, influence product direction, and build high-impact solutions in empowered, cross-functional teams where your work directly connects to business performance and customer outcomes
 
 
 
 How We Work
 
 
 
 You&rsquo;ll be part of a dedicated, cross-functional team (Product, Design, Engineering) that is:
 
 <ul>
 <li>
 Empowered to solve problems, not just build features
 </li>
 <li>
 Accountable for outcomes, not output
 </li>
 <li>
 Collaborative by default, from discovery through delivery
 </li>
 <li>
 Continuously learning, using data and customer insight to improve
 </li>
 </ul>
 
 
 Key Responsibilities
 
 
 
 
 Partner in Discovery &amp; Solution Shaping
 
 
 <ul>
 <li>
 Partner with Product Management and Product Design to deeply understand customer problems, workflows, and pain points
 </li>
 <li>
 Contribute to solution discovery, including ideation, prototyping, and evaluating multiple approaches
 </li>
 <li>
 Bring a technical perspective to help the team identify what is feasible, what is valuable, and what is worth building
 </li>
 <li>
 Challenge assumptions and propose alternative solutions that are simpler, faster, or more impactful
 </li>
 </ul>
 
 
 Lead Technical Direction for the Team
 
 
 <ul>
 <li>
 Guide the technical approach, architecture, and system design for your product area
 </li>
 <li>
 Make pragmatic tradeoffs between speed, scalability, maintainability, and cost
 </li>
 <li>
 Ensure alignment with broader platform and enterprise architecture where appropriate
 </li>
 <li>
 Identify and manage technical risks early, surfacing tradeoffs clearly to partners
 </li>
 </ul>
 
 
 Own End-to-End Engineering Outcomes
 
 
 <ul>
 <li>
 Deliver high-quality solutions that meet standards for performance, reliability, security, and scalability
 </li>
 <li>
 Ensure strong engineering practices, including testing, observability, and CI/CD
 </li>
 <li>
 Maintain a high bar for code quality and system design through reviews and hands-on contribution
 </li>
 <li>
 Drive continuous improvement of the product through iteration, feedback, and learning
 </li>
 </ul>
 
 
 Own Outcome-Oriented Delivery
 
 
 <ul>
 <li>
 Partner with Product and Data to define and track success metrics and outcomes
 </li>
 <li>
 Focus on delivering meaningful impact, not just completing work
 </li>
 <li>
 Use data, customer feedback, and experimentation to guide decisions and prioritize improvements
 </li>
 <li>
 Balance short-term delivery with long-term product and technical health
 </li>
 </ul>
 
 
 Contribute to a Strong Engineering Culture
 
 
 <ul>
 <li>
 Help evolve engineering standards, patterns, and best practices across teams
 </li>
 <li>
 Promote a culture of pragmatism, simplicity, and high-quality execution
 </li>
 <li>
 Collaborate with other tech leads to ensure consistency and leverage shared solutions where appropriate
 </li>
 </ul>
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Strong full stack engineering skills (frontend + backend, APIs, modern architectures)
 </li>
 <li>
 Product mindset: Cares about users, outcomes, and why things are built
 </li>
 <li>
 Technical judgment: Makes smart tradeoffs, avoids over-engineering
 </li>
 <li>
 Ownership: Takes initiative and influences decisions
 </li>
 <li>
 Collaboration: Works effectively with product managers and designers
 </li>
 </ul>
 
 
 Key Qualifications
 
 
 <ul>
 <li>
 2-5 years of software engineering experience
 </li>
 <li>
 Experience building and shipping production-grade applications
 </li>
 <li>
 Proficiency in modern programming languages and frameworks (frontend and backend)
 </li>
 <li>
 Experience working with APIs, distributed systems, and cloud environments
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience working on cross-functional product teams (Product, Design, Engineering)
 </li>
 <li>
 Experience contributing to product discovery or solution design, not just delivery
 </li>
 <li>
 Track record of technical leadership within a team (formal or informal)
 </li>
 <li>
 Exposure to data-driven, automation, or AI enabled systems
 </li>
 <li>
 Experience with enterprise platforms or large-scale distributed systems
 </li>
 <li>
 Experience building customer-facing products
 </li>
 <li>
 Familiarity with modern engineering practices (CI/CD, testing, observability)
 </li>
 </ul>
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field
 </li>
 <li>
 Equivalent practical experience is equally valued
 </li>
 </ul>
 
 
 Who Thrives Here
 
 
 
 Engineers who:
 
 <ul>
 <li>
 Are curious about customers and how products create value
 </li>
 <li>
 Enjoy collaborating and debating ideas across disciplines
 </li>
 <li>
 Take pride in both what they build and why it matters
 </li>
 </ul>
 
 
 Who This Role Is Not For
 
 
 
 This role may not be the right fit if you:
 
 <ul>
 <li>
 Prefer working from detailed requirements with limited ambiguity
 </li>
 <li>
 Want to focus primarily on coding without engaging in product decisions
 </li>
 <li>
 Are most comfortable in highly structured, delivery-driven environments
 </li>
 </ul>
 
 The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.
 
 
 Agile Methodology, Business Requirements, Communication, Computer Programming, Configuring (Inactive), Data Analysis, Financial Processing, Information Systems, Software Development, Structured Query Language (SQL), Systems Analysis, Systems Development Lifecycle (SDLC), Teamwork, Test Environments, Troubleshooting, Waterfall Model, Workflow Management
 
 
 
 Pay Range
 
 
 
 United States of America: 124,600 USD - 148,200 USD
 
 
 
 Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
 
 
 
 
 Annual Incentive Reference Value Percentage
 
 
 
 15
 
 
 
 Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
 
 
 
 
 Location(s):
 
 
 
 United States of America
 
 
 
 City/Cities
 
 
 
 Atlanta
 
 
 
 Travel Required
 
 
 
 00% - 25%
 
 
 
 Relocation Provided:
 
 
 
 Yes
 
 
 
 Job Posting End Date
 
 
 
 June 24, 2026
 
 
 
 Our Purpose And Growth Culture
 
 
 
 We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what&rsquo;s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors &ndash; curious, empowered, inclusive and agile &ndash; and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
 
 
 We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.
 
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Software Engineer I

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