Bachelor's Degree in Manufacturing Engineering, Industrial Engineering, Computer Science, Data ... PhD preferred in Engineering, Data Science, AI/ML, or related field) with a minimum of4 yearsof ...
Bachelor's Degree in Manufacturing Engineering, Industrial Engineering, Computer Science, Data ... PhD preferred in Engineering, Data Science, AI/ML, or related field) with a minimum of4 yearsof ...
Bachelor's Degree in Manufacturing Engineering, Industrial Engineering, Computer Science, Data ... PhD preferred in Engineering, Data Science, AI/ML, or related field) with a minimum of 4 years of ...
Bachelor's Degree in Manufacturing Engineering, Industrial Engineering, Computer Science, Data ... PhD preferred in Engineering, Data Science, AI/ML, or related field) with a minimum of 4 years of ...
Bachelor's Degree in Manufacturing Engineering, Industrial Engineering, Computer Science, Data ... PhD preferred in Engineering, Data Science, AI/ML, or related field) with a minimum of 4 years of ...
Bachelor's Degree in Manufacturing Engineering, Industrial Engineering, Computer Science, Data ... PhD preferred in Engineering, Data Science, AI/ML, or related field) with a minimum of 4 years of ...
Phd Computer Science information
See Camden, AR salary details
$47.9K - $51.1K
7% of jobs
$51.1K - $54.3K
7% of jobs
$54.3K - $57.5K
2% of jobs
$57.5K - $60.7K
0% of jobs
$60.7K - $63.9K
2% of jobs
$65.3K is the 25th percentile. Wages below this are outliers.
$63.9K - $67.1K
15% of jobs
$67.1K - $70.3K
16% of jobs
The median wage is $70.6K / yr.
$70.3K - $73.5K
13% of jobs
$73.5K - $76.7K
6% of jobs
$78.2K is the 75th percentile. Wages above this are outliers.
$76.7K - $79.9K
16% of jobs
$79.9K - $83.1K
17% of jobs
$47.9K
$70.5K
$83.1K
How much do phd computer science jobs pay per year?
Is a PhD worth it for CS?
What are some common challenges faced by PhD Computer Science students during their research?
What is the salary of a computer PhD?
What is a PhD in Computer Science?
What are the key skills and qualifications needed to thrive as a PhD in Computer Science, and why are they important?
Which CS has the highest salary?
What jobs can I get with a PhD in computer science?

$77K - $105K/yr
Full-time
Re-posted 14 days ago
Job description
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.
L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.
Job Title: Senior Specialist, Manufacturing Engineering (AI/ML)
Job Code: 39725
Job Location:Camden, Arkansas
Job Schedule: 4/10: Employees work 10 hours a day, 4 days a week.
Job Description:
We are seeking an experiencedSenior Specialist, Manufacturing Engineer with specialized expertise in artificial intelligence tool development, training, and implementation to join our digital transformation team. This senior-level position requires a professional who can bridge traditional manufacturing engineering excellence with cutting-edge AI capabilities, particularly withinPalantir Foundryand advanced analytics platforms. The candidate will be responsible for developing, deploying, and training others on AI-driven solutions that optimize manufacturing processes, enhance decision-making, and drive measurable ROI across multiple programs and departments.
As a Level 4 Manufacturing Engineer, you will develop and implement manufacturing engineering plans and projects of strategic importance, define and transfer advanced AI/ML tools and strategies, and serve as a subject matter expert in digital transformation initiatives. This role requires minimal oversight and demands the ability to influence organizational direction through innovative AI applications integrated with Statistical Process Control (SPC), MES, ERP systems, and advanced analytics platforms.
Essential Functions:
- Expert-level proficiency in developing and implementing advanced Statistical Process Control (SPC) methodologiesenhanced with AI-driven anomaly detection and predictive analytics across multiple programs and departments
- Develops, deploys, and trains others on artificial intelligence and machine learning toolsusing Palantir Foundry, Python, and advanced analytics platforms to solve complex manufacturing challenges, predict process variations, and optimize production efficiency
- Monitors and analyzes current manufacturing processesusing AI-enhanced PowerBI Dashboards, PowerApps, and advanced analytics to capture variations, identify trends, predict quality outcomes, and proactively recommend improvements before issues occur
- Develops and coordinates implementation of new manufacturing strategiesfor specific products and processes that leverage AI capabilities, digital twin technology, and advanced data analytics with program engineers and cross-functional teams
- Capable of representing the organization as a senior technical expert and subject matter authority, interacting with program teams, executive leadership, and external stakeholders on AI/digital transformation initiatives and advanced manufacturing technologies
- Manages large, complex, cross-functional project initiativesof strategic importance to the organization involving AI implementation, digital transformation, and advanced manufacturing technologies with minimal oversight or direction
- Provides expert guidance, coaching, and formal trainingto engineers and cross-functional teams across the Company on AI tool development, Palantir Foundry, advanced analytics methodologies, and digital manufacturing best practices
- Integrates AI solutions with Manufacturing Execution Systems (MES) and Enterprise Resource Planning (ERP) platformsto create seamless data flow, intelligent decision support systems, and real-time process optimization across manufacturing operations
- Estimates and tracks manufacturing costsusing AI-driven cost modeling and predictive analytics, determines time standards through data-driven analysis, and makes strategic recommendations for tooling and process requirements of new or existing product lines
Qualifications:
- Bachelor's Degree in Manufacturing Engineering, Industrial Engineering, Computer Science, Data Science, or related technical fieldANDa minimum of6 yearsof progressive manufacturing engineering experience with demonstrated AI/ML application ORGraduate Degree (Master's or PhD preferred in Engineering, Data Science, AI/ML, or related field) with a minimum of4 yearsof related experience OR In lieu of a degree, minimum of10 yearsof progressive manufacturing engineering experience with demonstrated expertise in AI/ML tool development and implementation.
Preferred Additional Skills:
- Experience in advanced statistical software and tools (e.g., PowerBI, PowerApps, Minitab, JMP, Induction Automation or similar).
- Experience withcloud-based AI platforms(Azure ML, AWS SageMaker, Google Cloud AI) and their integration with manufacturing systems.
- Knowledge and application of continuous improvement philosophy, methodology, and tools.
- Experience withIndustrial IoT platforms and data historians(Ignition SCADA, OSIsoft PI, or similar) for real-time data acquisition.
- Strong organizational and time management skills to successfully engage in multiple programs simultaneously over an extended period of time.
- Experience working with MS Office - (Word, Excel, PowerPoint, Project)
- Microsoft Power Tools Experience, such as but not limited to PowerBI, PowerApps, Microsoft Lists, Power Automate etc.
- Ability to read and interpret complex engineering drawings with proper application of geometric dimensioning and tolerancing (GD&T).
- Familiarity with Titan Enterprise systems and Palantir for Data extraction.
- Familiarity with Manufacturing Execution Systems, MRP systems, and PLM systems.
#LI-QN1
L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.
Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.
By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.
L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Employment Type: Full-TimeAbout L3Harris Technologies
Sourced by ZipRecruiter
Industry
Aviation
Company size
1,001 - 5,000 Employees
Headquarters location
Melbourne, FL, US
Year founded
2019