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Phd Computer Science Jobs in Tennessee (NOW HIRING)

Inovalon

Senior Machine Learning Engineer

Nashville, TN · On-site

$118K - $156K/yr

Master's degree or PhD in Computer Science, Machine Learning, or equivalent practical experience preferred. Physical Demands and Work Environment * Sedentary work (i.e., sitting for long periods of ...

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How much do phd computer science jobs pay per year?

As of Jun 19, 2026, the average yearly pay for phd computer science in Tennessee is $75,431.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,300.00 and $84,900.00 per year, depending on experience, location, and employer.

Is a CS PhD worth it?

A PhD in Computer Science can lead to careers in academia, research, or specialized industry roles that require advanced technical expertise. It typically involves several years of study, research, and publication, and is valuable for positions that demand deep knowledge or innovation in areas like artificial intelligence, algorithms, or data science.

What are some common challenges faced by PhD Computer Science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is a PhD in Computer Science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

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

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What is the salary of a PhD in computer science?

A PhD in computer science typically earns a salary ranging from $80,000 to over $150,000 annually, depending on the industry, location, and experience. Academic positions, research roles, and industry jobs such as software engineering or data science may have different salary ranges, with industry roles generally offering higher compensation.

Can I make 200K with a computer science degree?

A PhD in Computer Science can lead to high-paying roles such as research scientists, data scientists, or senior software engineers, where salaries of $200,000 or more are achievable, especially in tech hubs or with extensive experience. However, reaching this level typically requires advanced skills, experience, and sometimes additional certifications or leadership responsibilities.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, and university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.
What are popular job titles related to Phd Computer Science jobs in Tennessee? For Phd Computer Science jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Phd Computer Science jobs in Tennessee look for? The top searched job categories for Phd Computer Science jobs in Tennessee are:
What cities in Tennessee are hiring for Phd Computer Science jobs? Cities in Tennessee with the most Phd Computer Science job openings:
Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Tennessee as of June 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $75,431 per year, or $36.3 per hour.

Senior Linux HPC Storage Engineer

ITR

Oak Ridge, TN

Full-time

Posted 23 days ago

Be an early applicant

Job description

  • Must be able to work a hybrid work schedule in Oak Ridge, TN
  • Must be eligible for a federal security clearance (US Citizen)

Major Duties/Responsibilities
  1. Architect, deploy, and manage large-scale HPC storage systems, including parallel file systems such as Lustre, GPFS/Spectrum Scale, BeeGFS and WEKA
  2. Design, implement, and operate large-scale Ceph storage clusters for HPC and research workloads, delivering reliable, high-performance object, block, and file storage services.
  3. Ensure the availability, performance, scalability, and security of production storage environments.
  4. Administer and optimize enterprise storage platforms such as Qumulo and NetApp in support of HPC and research workloads.
  5. Design, deploy, and maintain archival storage solutions including Spectra Logic BlackPearl and large-scale tape libraries to ensure long-term data preservation and accessibility.
  6. Integrate high-performance, enterprise, and archival storage layers into cohesive tiered storage architectures that balance cost, scalability, and performance for diverse scientific workflows.
  7. Leverage automation and monitoring solutions to minimize day-to-day maintenance while identifying opportunities to optimize system performance and management.
  8. Collaborate with researchers and technical POCs to support large data workflows and optimize I/O performance for scientific workloads.
  9. Automate storage provisioning, monitoring, and maintenance using scripting and configuration management tools.
  10. Diagnose and resolve complex storage and I/O-related issues in high-throughput, low-latency HPC environments.
  11. Evaluate emerging storage technologies (NVMe, object storage, hierarchical storage management, burst buffers) and contribute to strategic planning for future HPC systems.
  12. Work with 24/7 operations staff to streamline monitoring and troubleshooting, significantly reducing the need for off-hours support.
  13. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace.
Basic Qualifications
  • A BS degree in computer science, computer engineering, information technology, information systems, science, engineering, or related discipline and 8–12 years of relevant professional experience; or an equivalent combination of education and experience.
    • Master’s degree holders: 7–10 years of relevant experience.
    • PhD holders: 4–6 years of relevant experience.
  • Five (5) or more years managing UNIX/Linux systems.
  • Demonstrated experience managing HPC storage and large-scale enterprise storage systems.
  • Three (3) or more years working with configuration management and automation tools such as Git, Jenkins, Ansible, or Puppet.
  • Proficiency with at least one scripting language (Bash, Python, Perl, etc.).
  • Strong Linux administration and advanced troubleshooting experience.
  • Experience supporting large data systems and/or HPC scientific workloads.
  • Strong desire to innovate and evaluate new technologies for HPC and storage environments.
  • Collaborative approach and ability to become a trusted advisor to research teams.
Preferred Qualifications
  • Active DOE Q, DoD Top Secret, or TS/SCI clearance is strongly preferred.
  • Solid understanding of multiple operating systems and HPC cluster technologies.
  • Experience with Rocky/CentOS/RHEL, Ubuntu, VMware.
  • Understanding of HPC job schedulers (SLURM) and user support workflows.
  • Experience with container technologies in HPC environments.
  • Experience with multiple system deployment mechanisms (Warewulf, PXEboot, Cobbler, Bright).
  • Experience with GPU clusters (NVIDIA, AMD) for AI/ML and scientific workloads.
  • Deep expertise with high-performance parallel file systems (Lustre, GPFS/Spectrum Scale, BeeGFS, WEKA).
  • Knowledge of storage networking (Infiniband, NVMe-oF, SAN/NAS architectures).
  • Familiarity with RAID, ZFS, and object storage technologies.
  • Strong background in performance monitoring, benchmarking, and I/O optimization.
  • Experience with monitoring systems such as Grafana, CheckMK, Nagios, Zabbix, Ganglia.
  • Previous experience working in a government, scientific, or other highly technical environment.
  • Strong documentation skills and ability to prepare web-based documentation.