2

Full Time Tesla Computer Science Jobs in Seattle, WA

Senior Software Engineer

Seattle, WA · On-site

$139K - $183K/yr

Built by engineers from mining, construction, Waymo, SpaceX, Google and Tesla, AIM enables scalable ... Bachelor's degree in Computer Science, Computer Engineering, Robotics, or equivalent hands-on ...

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Bachelor's Degree (BA, BS, or MS in Computer Science) or equivalent experience. Minimum 3-5 years ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

Bachelor's Degree (BA, BS, or MS in Computer Science) or equivalent experience. Minimum 3-5 years ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

Bachelor's Degree (BA, BS, or MS in Computer Science) or equivalent experience. Minimum 3-5 years ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

Bachelor's Degree (BA, BS, or MS in Computer Science) or equivalent experience. Minimum 3-5 years ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

Manufacturing Engineer

Redmond, WA · On-site

$81K - $105K/yr

Puget Sound, WA Duration: Full Time Candidate must be willing and able to travel to China - about 3 ... Degree would be beneficial - Electrical Electronics, Engineering, Computer Science * Will be ...

Bachelor's Degree (BA, BS, or MS in Computer Science) or equivalent experience. Minimum 3-5 years ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

Bachelor's Degree (BA, BS, or MS in Computer Science) or equivalent experience. Minimum 3-5 years ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

Bachelor's Degree (BA, BS, or MS in Computer Science) or equivalent experience. Minimum 3-5 years ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

Bachelor's Degree (BA, BS, or MS in Computer Science) or equivalent experience. Minimum 3-5 years ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

Showing results 41-60

Full Time Tesla Computer Science information

See Seattle, WA salary details

$64.3K

$94.6K

$111.5K

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

As of Sep 14, 2026, the average yearly pay for full time tesla computer science in Seattle, WA is $94,580.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $106,400.00 per year, depending on experience, location, and employer.

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 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 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 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.

Infographic showing various Full Time Tesla Computer Science job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $94,580 per year, or $45.5 per hour.

Scientist I - Computation through Dynamics

Seattle, WA • Hybrid

Allen Institute
Scientific Research and Development Services • 51 - 200 employees

$86K - $106K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Job description

Scientist I – Computation through Dynamics

The Allen Institute accelerates science for a healthier world through large-scale research designed to answer some of the most complex questions in biology. Our multi-disciplinary teams generate foundational knowledge, tools, and data to understand how our brain, cells, and immune system work. We share our work openly so others can build on it, move faster, and ask bigger questions. We drive discovery forward and create new possibilities for improving human health.

The goal of the Neural Dynamics accelerator is to understand how the brain generates flexible behavior. We aim to uncover the algorithms—implemented by dynamics in brain-wide neural circuits—that allow animals to build internal models, process information, and choose actions.
We are searching for a Scientist to lead the analysis of large-scale neural population recordings collected during flexible decision-making tasks. These datasets include spike trains from thousands of neurons recorded simultaneously across multiple brain regions, providing a unique opportunity to uncover how distributed neural circuits support adaptive behavior. The ideal candidate will be team-oriented, have deep knowledge in neuroscience and statistics, and be excited to work at the interface of large-scale physiology, behavior, and theory. This position will require good communication with experimentalists leveraging state-of-the-art behavioral, computational, electrophysiological, and imaging methods, as well as molecular and transgenic resources. The goal is to make fundamental discoveries about multi-regional neural computation for continuous learning and flexible behaviors, and to generate insights that inform downstream computational modeling work and new experiments.

At the Allen Institute, we believe that science is for everyone – and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.

We are an equal opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.

This position is full-time and of a limited duration, with an expected end date of February 1, 2030.

Essential Functions

  • Build and deploy reproducible analysis pipelines for large scale neural and behavioral datasets
  • Apply statistical approaches to extract structure from high-dimensional neural activity
  • Develop quantitative models and analyses of behavior and neural measurements
  • Collaborate internally and externally to develop theory guided hypotheses for neural computation
  • Present results internally, via talks and progress reports, and to the external community, via conferences and publications
  • Engage deeply with current literature, including ~quarterly presentations in the theory journal club

Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management’s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.

Required Education and Experience

  • PhD in neuroscience, statistics, computer science, physics or related field; or equivalent combination of degree and experience
  • Demonstrated proficiency in conducting collaborative, multidisciplinary research
  • Strong understanding of statistics and data science
  • Ability to write reusable code in Python

Preferred Education and Experience

  • Experience with cloud computing infrastructure
  • Excellent written and verbal communication skills
  • Strong publication record

Physical Demands

  • Fine motor movements in fingers/hands to operate computers and other office equipment; repetitive motion with lab equipment

Position Type/Expected Hours of Work

  • This role is currently able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State.
  • This position is full-time and of a limited duration, with an expected end date of February 1, 2030.

Travel

  • Attendance and participation in national and international conferences required

Additional Comments

  • **Please note, this opportunity offers relocation assistance**
  • **Please note, this opportunity may offer work visa sponsorship**

Annualized Salary Range

  • $86,150 - $106,650 *

* Final salary depends on required education for the role, experience, and level of skills relevant to the role, along with work location, where applicable.
Benefits

  • Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute’s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute’s 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute’s benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits.


It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.