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Tesla Software Engineering Jobs (NOW HIRING)

Data Engineer, Field Reliability

Fremont, CA · On-site

$125K - $151K/yr

Tesla is looking for a skilled Data Engineer to join their Field Reliability Data Team, focusing on ... software tools to complex fleet data analysis, enabling proactive monitoring of fleet behavior to ...

The AI Hardware Engineering team at Tesla is transforming EDA tools through AI-driven innovation to ... Collaborate cross-functionally with software and hardware teams to accelerate the hardware ...

Software Engineer

San Francisco, CA · On-site

$260K - $300K/yr

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our ... Systems engineering depth: Experience building reliable, performant distributed systems; you have ...

Tesla is a leading electric vehicle and clean energy company, and they are seeking a Supply Chain ... Participate in technical discussions with software developers related to backend design, response ...

Site Reliability Engineer, Diagnostics

Palo Alto, CA · On-site

$67 - $89.25/hr

Job Summary : Tesla is a leading company in the automotive industry, known for its innovative ... Required : • Degree in Computer Science, Electrical Engineering, Automotive Engineering, or ...

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Tesla Software Engineering information

See salary details

$63.5K

$147.5K

$205.5K

How much do tesla software engineering jobs pay per year?

As of Jun 29, 2026, the average yearly pay for tesla software engineering in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior software engineers, especially those with extensive experience, specialized skills, and working in high-paying industries like technology companies such as Tesla, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires advanced expertise in areas like AI, machine learning, or embedded systems, along with leadership responsibilities and a strong track record of performance.

What is a Tesla Software Engineering job?

A Tesla Software Engineering job involves designing, developing, and optimizing software for Tesla's products, including vehicles, energy solutions, and internal systems. Engineers work on cutting-edge technology like autonomous driving, battery management, and AI-driven applications. The role requires proficiency in programming languages such as Python, C++, or Java, and experience with software development frameworks. Collaboration with cross-functional teams is essential to enhance performance, safety, and user experience. Tesla engineers are expected to innovate, solve complex problems, and work in a fast-paced environment to support the company's mission of accelerating sustainable energy.

What is the typical team structure for a Tesla Software Engineering role, and how do engineers collaborate across projects?

Tesla Software Engineers often work in cross-functional teams that include product managers, hardware engineers, and other software specialists. Collaboration is highly valued, with regular meetings and code reviews to ensure integration across different technology domains—such as autonomous driving, manufacturing systems, or in-car infotainment. Engineers are encouraged to take ownership of features from conception to deployment, and may collaborate with teams in other locations to solve complex, real-world problems. This dynamic environment fosters innovation and provides opportunities for learning from experts in both software and hardware engineering. As a result, engineers gain exposure to diverse challenges and are able to significantly impact Tesla’s cutting-edge products.

Does Tesla hire software engineers?

Yes, Tesla hires software engineers for roles involving vehicle software, energy products, and autonomous driving systems. Candidates typically need strong programming skills in languages like Python or C++, experience with embedded systems, and a background in software development or engineering. Tesla's hiring process often includes technical interviews and coding assessments.

What are the key skills and qualifications needed to thrive in the Tesla Software Engineering position, and why are they important?

To thrive as a Tesla Software Engineer, you need a solid foundation in computer science, programming (often in C++, Python, or Java), and a background in software development methodologies—usually evidenced by a bachelor’s or master’s degree in a relevant field. Proficiency with development tools like Git, CI/CD pipelines, and experience working with embedded systems, automotive software, or cloud infrastructure is also valuable. Strong problem-solving abilities, effective communication, and a collaborative mindset are crucial soft skills. These capabilities ensure engineers can contribute to high-impact projects in a fast-paced environment, drive innovation, and deliver reliable software for Tesla’s advanced products.

What engineers make $300,000 a year?

Senior software engineers, especially those with extensive experience, specialized skills in areas like AI or embedded systems, and working at leading tech companies or innovative firms, can earn $300,000 or more annually. Compensation often includes base salary, bonuses, and stock options, particularly in high-demand fields and senior roles.

How much do Tesla software engineers make?

Tesla software engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and specific role. Senior positions and specialized skills such as embedded systems or AI can lead to higher compensation, often including stock options and bonuses.
More about Tesla Software Engineering jobs
What cities are hiring for Tesla Software Engineering jobs? Cities with the most Tesla Software Engineering job openings:
What states have the most Tesla Software Engineering jobs? States with the most job openings for Tesla Software Engineering jobs include:
Infographic showing various Tesla Software Engineering job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.
Product Management Intern (Software Engineering)

Product Management Intern (Software Engineering)

BillionToOne

Menlo Park, CA • On-site

$6.0K - $10K/mo

Other

Posted 7 days ago


Key responsibilities

  • Collaborate cross-functionally to develop product strategy, define success criteria, and create roadmaps.

  • Conduct data analysis to inform the product roadmap and provide strategic recommendations.

  • Create detailed specifications and documentation, and facilitate communication with internal stakeholders to support project efforts.


Job description

BillionToOne is seeking a Product Management Intern (Software Engineering) to to support objectives in the oncology product portfolio (Northstar Select and Response). This person will work to define user requirements and pain points, develop a product roadmap, and execute a successful launch. The ideal candidate will be independent, metrics-driven, and comfortable interfacing with a diverse group of stakeholders.

Responsibilities

  • Product strategy and planning: Collaborate cross-functionally to develop product strategy, define success criteria, and create roadmaps.
  • Data analysis: Conduct data analysis to inform a product roadmap and provide strategic recommendations.
  • Project management and execution: Deliver quality products through scope definition, agile project management, and effective stakeholder communication.
  • Communication and documentation: Create detailed specifications for the project team and develop clear business and technical documentation to support project efforts. Foster relationships across multiple teams, manage expectations, and communicate upwards.
  • Collaboration with internal stakeholders: Closely collaborate with internal teams (including Client Services, Sales, Genetic Counseling, Software Engineering, and Lab personnel) to understand user requirements and facilitate project communication.

Requirements

  • Currently pursuing a Master's degree, ideally in business administration, biological sciences, engineering, or other related field
  • Experience in biotechnology or healthcare industry preferred
  • Command of product principles, techniques, and best practices
  • Solid analytical skills to interpret internal data and leverage external data sources 
  • Comfortable working with highly technical teams, including software engineers, bioinformaticians, and data scientists
  • Excellent communication (verbal and written) and interpersonal skills, with the ability to collaborate effectively across teams and communicate complex concepts to stakeholders
  • Ability to adapt to an ambiguous and evolving internal and external environment

Benefits And Perks:

  • Working alongside brilliant, kind, passionate and dedicated colleagues, in an empowering environment, toward a global vision, striving for a future in which transformative molecular diagnostics can help millions of patients
  • Open, transparent culture that includes weekly Town Hall meetings
  • The ability to indirectly or directly change the lives of hundreds of thousands patients
  • Daily on-site lunches provided from top eateries
  • Latest and greatest hardware (laptop, lab equipment, facilities)
  • A variety of perks on campus (state of the art gym, restaurant)
  • Free on-site EV charging (compatible with all EVs, including Tesla)

At BillionToOne, we are proud to offer a combination of (1) competitive base pay, and (2) the opportunity for professional growth.

For this position, the base pay rate is $6,000 - $10,000 per month.

BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.