ZipRecruiter

Log In

2

Full Time Tesla Computer Science Jobs in Portland, OR

Panthalassa

Configuration Architect

Portland, OR

Bachelor's degree in Engineering, Computer Science, Information Technology, or equivalent ... Compensation and Benefits If hired for this full-time role, you will receive: * Cash compensation ...

Panthalassa

Configuration Architect

Portland, OR · On-site

Bachelor's degree in Engineering, Computer Science, Information Technology, or equivalent ... Compensation and Benefits If hired for this full-time role, you will receive: * Cash compensation ...

Ventures Unlimited Inc

Hadoop Lead

Beaverton, OR · On-site

Beaverton, OR Duration: Full Time : Responsibilities: Design and implement map reduce jobs to ... MS/BS degree in a computer science field or related discipline 8+ years' experience in large-scale ...

Trimble

Machine Learning Data Scientist

Lake Oswego, OR

$122.64K - $165.47K/yr

Bachelor's degree in Computer Science, Data Analytics, or Engineering (Master's or Ph.D. preferred ... This compensation range is based on a full time schedule. Trimble reserves the right to ultimately ...

next page

Showing results 1-20

People also search for

All JobsFull Time Tesla Computer Science JobsFull Time Tesla Computer Science Jobs in Portland, OR

Full Time Tesla Computer Science information

See Portland, OR salary details

$59.9K

$88.1K

$103.9K

How much do full time tesla computer science jobs pay per year?

As of May 30, 2026, the average yearly pay for full time tesla computer science in Portland, OR is $88,137.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,200.00 and $99,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full-Time Computer Science professional at Tesla, and why are they important?

To thrive as a Full-Time Computer Science professional at Tesla, you need strong programming skills (such as Python, C++, or Java), a solid understanding of algorithms and data structures, and typically a degree in computer science or related field. Familiarity with version control systems like Git, cloud platforms, and experience with Tesla’s preferred tech stacks or frameworks are highly valued, as well as relevant certifications. Excellent problem-solving ability, adaptability, and effective teamwork set top candidates apart in this fast-paced environment. These skills and qualities are crucial for driving innovation, building robust software solutions, and contributing to Tesla’s mission-driven projects.

What are some unique challenges computer science professionals may face while working full time at Tesla?

Working full time as a computer science professional at Tesla involves tackling complex, fast-paced projects that directly impact the company's innovative technologies. You may face challenges such as rapidly evolving requirements, tight deadlines, and the need to collaborate closely with cross-functional teams like hardware engineers, data scientists, and product managers. The dynamic environment often requires quick problem-solving, adaptability, and a strong commitment to high-quality code. However, these challenges provide valuable opportunities for professional growth and allow you to contribute to groundbreaking advancements in sustainable technology.

What does a Full Time Tesla Computer Science employee do?

A Full Time Tesla Computer Science employee typically works on designing, developing, and maintaining software systems that power Tesla's vehicles, energy products, or internal operations. This can include working on autonomous driving algorithms, data analytics, embedded systems, or cloud infrastructure. Employees collaborate with cross-functional teams to solve complex engineering challenges and contribute to Tesla’s mission of accelerating the world’s transition to sustainable energy. The role requires strong programming skills, problem-solving abilities, and a passion for innovation.

What is the difference between Full Time Tesla Computer Science vs Full Time Tesla Software Engineer?

AspectFull Time Tesla Computer ScienceFull Time Tesla Software Engineer
Required CredentialsBachelor's or higher in Computer Science or related fieldBachelor's or higher in Computer Science or related field
Work EnvironmentResearch, data analysis, algorithm developmentApplication development, coding, system design
Employer & Industry UsageTesla's R&D and innovation teamsTesla's product and software development teams
Common Search & Comparison IntentUnderstanding roles in Tesla's tech teamsComparing software engineering roles at Tesla

Full Time Tesla Computer Science roles typically focus on research, data analysis, and algorithm development within Tesla's R&D teams. In contrast, Full Time Tesla Software Engineer positions emphasize application development, coding, and system design for Tesla's products. Both roles require similar educational backgrounds but differ in daily tasks and focus areas, catering to different aspects of Tesla's technological innovation.

What are popular job titles related to Full Time Tesla Computer Science jobs in Portland, OR? For Full Time Tesla Computer Science jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Full Time Tesla Computer Science jobs in Portland, OR look for? The top searched job categories for Full Time Tesla Computer Science jobs in Portland, OR are:
Full Time Tesla Computer Science jobs near you
Assistant/Associate Professor of Translational Data Science & Artificial Intelligence

Assistant/Associate Professor of Translational Data Science & Artificial Intelligence

Oregon Health & Science University

Portland, OR • On-site

Full-time

Posted 11 days ago

Oregon Health & Science University rating

8.2

Company rating: 8.2 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

106th of 529 rated colleges and universities

Job description

Department Overview

The Division of Informatics, Clinical Epidemiology and Translational Data Science (DICE), one of 11 divisions in the OHSU Department of Medicine, is a national leader in biomedical informatics research and education. Faculty benefit from OHSU's highly collaborative environment, including access to a number of teams and resources related to innovation with and translation of AI, as well as the Advanced Computing Center. OHSU values a diverse and culturally competent workforce and is proud to be an equal opportunity, affirmative action organization.

**Open to various rank levels (Assistant, Associate, or Professor) dependent on experience**

Function/Duties of Position

The Division of Informatics, Clinical Epidemiology and Translational Data Science (DICE) at OHSU seeks a tenure-track faculty member to lead a research program at the intersection of Artificial Intelligence (AI), machine learning (ML), and translational science. The successful candidate will develop computational methods to bridge the gap between complex biomedical data and clinical bedside application, leveraging OHSU's extensive electronic health record (EHR) data, imaging repositories, and genomic datasets.

 

Key Responsibilities

Research & Scholarship (70%):

  • Establish and maintain an independently funded research program focused on translational AI (e.g., predictive clinical modeling, precision oncology, ambient intelligence, or bias mitigation in healthcare algorithms).
  • Collaborate with clinical partners in the Knight Cancer Institute, Oregon Clinical and Translational Research Institute (OCTRI), the Center for AI-Enabled Learning Health Science (CAILS) and others to validate and implement AI tools in real-world settings.
  • Publish high-impact findings in peer-reviewed journals and present at national/international conferences.

Education & Mentoring (20%):

  • Teach graduate-level courses in the Biomedical Informatics Graduate Program (e.g., Applied Machine Learning, Health Data Analytics).
  • Mentor MS/PhD students, postdoctoral fellows, and clinical informatics fellows, fostering their development as independent scientists.

Service & Leadership (10%):

  • Participate in departmental committees and OHSU-wide governance regarding ethical AI usage and data science infrastructure.
  • Contribute to grant review panels and professional societies.
  •  
Required Qualifications
  • PhD, MD/PhD, or equivalent in Biomedical Informatics, Computer Science, Data Science, Statistics, or a related field.
  • Demonstrated expertise in applying machine learning/deep learning to biomedical problems (e.g., NLP or EHR, computer vision for pathology/radiology, or multi-omics integration). 
  • Track record of scholarly productivity (publications) and potential for securing external fudning (e.g., NIH, NSF, PCORI)
  • Proficiency in Python, R, SQL, and experience with high-performance computing environments
Preferred Qualifications
  • Experience with implementation science or deploying algorithmic tools into clinical workflows
  • Previous success securing K-awards or R-level grant funding
  • Familiarity with federated learning or privacy-preserving computation
Why apply to OHSU?We are Oregon's only public academic health center. In addition to caring for patients, we lead groundbreaking research. We also train the next generation of health care professionals. As Portland's largest employer, we give you opportunities to learn and advance in a system of hospitals and clinics across Oregon and Southwest Washington. All are welcome. OHSU welcomes people of all ages, ethnicities, genders, national origins, religions and sexual orientations. We are striving to build an anti-racist, multicultural institution and encourage people with diverse backgrounds to apply. To request reasonable accommodation, contact askhr@ohsu.eduEmployment Type: FULL_TIME

What Oregon Health & Science University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Oregon Health & Science University logo

About Oregon Health & Science University

Sourced by ZipRecruiter

Oregon Health & Science University (OHSU) is a distinguished institution under the industry of higher education and healthcare, specifically in the field of medical science. Based in Portland, Oregon, US, it maintains a reputation for promoting research, teaching, patient care, and outreach. Established in 1887, OHSU has continually sought to redefine the parameters of healthcare delivery and biomedical discovery through its expansive catalog of programs and initiatives. A galvanizing mission drives OHSU: to improve the health and quality of life for all Oregonians through excellence, innovation, and leadership in health care, education, and research.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Portland, OR, US

Year founded

1887

View All Oregon Health & Science University Jobs

Apply