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Full Time Tesla Computer Science Jobs in Texas (NOW HIRING)

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

We are seeking a Full-time Sr Level Computer Vision Engineer to help provide expertise to our team ... At least a master's degree in computer science, Electrical Engineering, or a related field, with a ...

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen Employment Type: FULL_TIME

Computer Help Desk II

Killeen, TX · On-site

$18 - $24.25/hr

This full-time, on-site position is responsible for responding to service requests, troubleshooting ... An Associate Degree in Information Technology, Computer Science, or a related field is preferred.

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Full Time Tesla Computer Science information

How much do Tesla computer science jobs pay?

Tesla computer science jobs typically offer salaries ranging from $80,000 to over $150,000 annually, depending on experience, role, and location. Entry-level positions may start lower, while senior roles or specialized positions such as software engineers or data scientists tend to pay higher. Compensation often includes benefits like stock options and performance bonuses.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand industries like technology and finance, can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. At companies like Tesla, experienced engineers in specialized fields such as AI, autonomous systems, or hardware engineering may reach or exceed this compensation level with advanced skills and significant experience.

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 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 highest paid job at Tesla?

At Tesla, executive roles such as Vice President or Senior Vice President tend to be the highest paid, often earning multi-million dollar compensation packages that include base salary, bonuses, and stock options. These positions require extensive experience, leadership skills, and often technical expertise in areas like engineering or software development.

Is it hard to get hired by Tesla?

Getting hired for a full-time Tesla computer science role can be competitive, as the company seeks candidates with strong technical skills, relevant experience, and a solid educational background in computer science or related fields. The hiring process typically involves multiple interviews, technical assessments, and demonstrating problem-solving abilities. Candidates who showcase proficiency in programming, data structures, and industry tools have a better chance of success.
What are the most commonly searched types of Tesla Computer Science jobs in Texas? The most popular types of Tesla Computer Science jobs in Texas are:
What cities in Texas are hiring for Full Time Tesla Computer Science jobs? Cities in Texas with the most Full Time Tesla Computer Science job openings:
Sr. Computer Vision Engineer

Sr. Computer Vision Engineer

Darbytek

Austin, TX • On-site

$180K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Job description

We are seeking a Full-time Sr Level Computer Vision Engineer to help provide expertise to our team here in Austin TX. Candidates must be local or willing to relocate. Very lucrative opportunity to join a fast-growing start-up with equity ownership.


What You'll Do:

  • Lead the development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.
  • Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.
  • Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.
  • Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.
  • Mentor junior engineers and contribute to the overall growth of the machine learning and computer vision expertise within the company.
  • Contribute to the hardening of the prototype turret into a military-grade system and assist in developing variants for different weapon systems and engagement ranges.



What You'll Need:

  • Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.
  • At least a master's degree in computer science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
  • 9+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics.
  • A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.
  • Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
  • Experience with embedded systems and integrating computer vision algorithms into hardware.
  • Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.
  • You enjoy mentoring and collaborating with other engineers to solve complex technical challenges.

Company Description

At Darbytek, our goal is to build a better future for people and business. We specialize in recruiting skilled individuals for both full-time direct hires and contract positions. Allow us to help you with your next opportunity.