ZipRecruiter

Log In

1

Phd Engineer Jobs in Atlanta, GA (NOW HIRING)

Top Engineer

Software Engineers

Atlanta, GA · On-site

MS or PhD a plus 1-5 years of relevant experience Strong proficiency programming in C/C++ Proficiency with algorithms and data structures Familiarity with multithreading and/or parallel programming ...

STR

Senior DevOps Engineer

Atlanta, GA · On-site

$125K - $160.60K/yr

S. citizenship is a government requirement • BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field with relevant experience depending on degree (BS +5 ...

STR

Lead Software Engineer

Atlanta, GA · On-site

S. citizenship is a government requirement • BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering or a related field with 2-7+ years of relevant work experience ...

STR

Senior DevOps Engineer

Atlanta, GA

$134K - $184K/yr

S. citizenship is a government requirement * BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field with relevant experience depending on degree (BS +5 ...

STR

Lead Software Engineer

Atlanta, GA

$157K - $224K/yr

S. citizenship is a government requirement * BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering or a related field with 2-7+ years of relevant work experience depending ...

STR

Senior DevOps Engineer

Atlanta, GA · On-site

$134K - $184K/yr

S. citizenship is a government requirement * BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field with relevant experience depending on degree (BS +5 ...

STR , Ltd.

Senior DevOps Engineer

Atlanta, GA · On-site

$134K - $184K/yr

S. citizenship is a government requirement * BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field with relevant experience depending on degree (BS +5 ...

STR

Senior DevOps Engineer

Atlanta, GA

$134K - $184K/yr

S. citizenship is a government requirement * BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field with relevant experience depending on degree (BS +5 ...

STR

Lead Software Engineer

Atlanta, GA · On-site

$157K - $224K/yr

S. citizenship is a government requirement * BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering or a related field with 2-7+ years of relevant work experience depending ...

STR

Lead Software Engineer

Atlanta, GA

$157K - $224K/yr

S. citizenship is a government requirement * BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering or a related field with 2-7+ years of relevant work experience depending ...

next page

Showing results 1-20

People also search for

All JobsPhd Engineer JobsPhd Engineer Jobs in Atlanta, GA

Phd Engineer information

What are the key skills and qualifications needed to thrive as a PhD Engineer, and why are they important?

To thrive as a PhD Engineer, you need advanced expertise in engineering principles, research methodology, and problem-solving, typically supported by a doctoral degree in an engineering discipline. Familiarity with specialized technical tools, modeling software, data analysis platforms, and sometimes professional certifications are commonly required. Exceptional analytical thinking, innovation, and strong communication skills set top PhD Engineers apart in collaborative and research-driven environments. These competencies are vital for driving technological advancements, publishing impactful research, and leading complex engineering projects.

What are the typical career advancement opportunities for a PhD Engineer in an industrial setting?

PhD Engineers in industry often start in research and development roles, where they apply their advanced technical expertise to solve complex problems. Over time, they may progress into senior scientist or technical lead positions, and can also transition into management roles such as R&D manager or director. Career growth is often driven by demonstrated innovation, successful project leadership, and strong collaboration skills. Additionally, PhD Engineers frequently have opportunities to shape company strategy, mentor junior engineers, and contribute to patent portfolios.

What is a PhD Engineer?

A PhD Engineer is an individual who has completed a Doctor of Philosophy (PhD) degree in an engineering discipline. This advanced degree signifies deep expertise in a specialized area of engineering, often involving original research and the completion of a dissertation. PhD Engineers typically work in academia, research and development, or advanced industry roles where they contribute to scientific innovation and technological advancements. Their work often includes conducting research, publishing scholarly articles, and mentoring students or junior engineers.

Can you make $250,000 as an engineer?

PhD engineers in specialized fields such as aerospace, petroleum, or software engineering can potentially earn $250,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. However, salaries vary widely based on industry, location, company size, and individual expertise, and such high compensation is typically achieved through senior positions or consulting work.

What is the difference between Phd Engineer vs Research Scientist?

AspectPhd EngineerResearch Scientist
Required CredentialsPhD in Engineering or related fieldPhD in relevant scientific discipline
Work EnvironmentIndustry labs, R&D departments, manufacturingAcademic labs, research institutions, industry R&D
Employer & Industry UsageTech companies, manufacturing firms, engineering firmsUniversities, government agencies, private research firms
Common Search & ComparisonYesYes

Both Phd Engineers and Research Scientists hold doctoral degrees and work in research-intensive environments. Phd Engineers typically focus on applied engineering projects within industry, while Research Scientists often work on fundamental scientific research in academic or government settings. The choice depends on whether you prefer industry application or scientific exploration.

What are popular job titles related to Phd Engineer jobs in Atlanta, GA? For Phd Engineer jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Phd Engineer jobs in Atlanta, GA look for? The top searched job categories for Phd Engineer jobs in Atlanta, GA are:
Phd Engineer jobs near you
Machine Learning Engineer - PhD or PhD Candidate (Near Completion)

Machine Learning Engineer - PhD or PhD Candidate (Near Completion)

Optimal Inc.

Embry Hills, GA • On-site

Contractor

This job post has expired today. Applications are no longer accepted.

Job description


Candidates with only a Master's degree will not be considered.

Minimum qualification: PhD (completed or currently pursuing with expected completion in the near term) in a relevant technical field.

This is an urgent requirement with an anticipated start date within 2 weeks.
Priority will be given to candidates who can interview promptly and begin within two weeks of selection.

We are seeking a highly motivated Machine Learning / Deep Learning Research Engineer with strong expertise in Machine Learning, Deep Learning, Computer Vision, and AI research. This role is intended exclusively for PhD graduates or candidates near completion from reputable universities. Candidates with a strong academic research background in Machine Learning, Artificial Intelligence, Computer Vision, Data Science, or related fields are encouraged to apply.

Research experience gained during a PhD program will be considered equivalent to professional industry experience.

This is an urgent hiring requirement, and we are actively seeking candidates who can start within the next 2 weeks.

Education Requirement

PhD in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Machine Learning, Data Science, or a related technical field
Candidates currently pursuing a PhD with anticipated graduation within the next 3-6 months are also encouraged to apply
Only PhD candidates will be considered for this role
Candidates with only a Master's degree will not be considered


Key Responsibilities
Design, develop, train, and optimize Machine Learning and Deep Learning models for real-world applications
Own the complete ML lifecycle including data collection, annotation, preprocessing, model training, fine-tuning, evaluation, optimization, and deployment
Develop and deploy advanced deep learning architectures including CNNs, LSTMs, ConvLSTMs, Graph Neural Networks (GNNs), Reinforcement Learning, and Transformer-based models
Conduct experiments, evaluate model performance, and drive continuous algorithmic improvements
Work with large-scale datasets for model training, validation, and testing
Optimize and deploy AI models for scalable and efficient real-world applications
Translate research concepts into scalable, production-ready AI systems
Collaborate with cross-functional engineering and research teams to integrate ML models into real-world applications
Document methodologies, experimental findings, and technical solutions
Contribute to technical innovation initiatives and advanced AI research activities

Required Qualifications
Strong PhD research background in Machine Learning, Deep Learning, Artificial Intelligence, Computer Vision, Data Science, or related areas
Strong programming experience with Python and C++
Hands-on experience with PyTorch, TensorFlow, Keras, Scikit-learn, or similar ML frameworks
Strong understanding of Machine Learning, Deep Learning, Neural Networks, and AI algorithms
Experience developing and training advanced deep learning models and architectures
Solid mathematical foundation in linear algebra, probability, statistics, optimization, and applied machine learning
Experience working with Linux environments, Git, Docker, and modern development workflows
Demonstrated research experience through publications, thesis work, academic research projects, or equivalent research contributions
Strong ability to independently research, prototype, and deploy AI solutions

Preferred Qualifications
Publications in leading AI, Machine Learning, or Computer Science conferences/journals
Experience transitioning AI/ML models from research environments into production systems
Experience with CUDA, GPU acceleration, distributed computing, or high-performance computing
Experience handling large-scale, real-world datasets

This role is ideal for candidates passionate about applying advanced AI research, machine learning, and deep learning techniques to solve challenging real-world problems.

Apply