ZipRecruiter

Log In

2

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

Darbytek

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 ...

Victory

Data Scientist

Austin, TX

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

IPRO

Systems Administrator

Van Alstyne, TX

Associate's Degree, computer science or information technology * Bachelor's Degree, computer ... PowerShell scripting proficiency Compensation 60,000-90,000 Per Year Position Type Full-Time ...

Centex Technologies

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.

next page

Showing results 1-20

All JobsFull Time Tesla Computer Science JobsFull Time Tesla Computer Science Jobs in Texas

Full Time Tesla Computer Science information

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.

Does Tesla hire computer engineers?

Tesla hires computer engineers for roles involving software development, embedded systems, and autonomous vehicle technology. Candidates typically need strong programming skills in languages like C++ or Python and experience with hardware integration. These positions often require a background in computer science or related fields and may involve working in fast-paced, innovative environments.

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 paying job at Tesla?

At Tesla, executive roles such as Vice President or Senior Director tend to be among the highest paid, often earning multi-million dollar compensation packages that include base salary, bonuses, and stock options. These positions typically require extensive experience, leadership skills, and advanced technical or business expertise. Compensation varies based on performance, experience, and the specific department.

Can you work remotely for Tesla?

Full Time Tesla Computer Science roles may offer remote work options depending on the position and team requirements. Many roles require on-site presence for collaboration, but some positions, especially in software development and engineering, may be eligible for remote work or hybrid schedules. Candidates should review specific job postings for remote work policies and requirements.

Is it difficult to get hired at Tesla?

Getting hired for a full-time computer science role at Tesla can be competitive, often requiring strong technical skills, relevant experience, and a solid educational background. The hiring process typically involves multiple interviews, technical assessments, and demonstrating problem-solving abilities related to software development and engineering. Candidates who showcase expertise in programming languages, systems design, and innovation tend to have better chances.
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 are popular job titles related to Full Time Tesla Computer Science jobs in Texas? For Full Time Tesla Computer Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Full Time Tesla Computer Science jobs in Texas look for? The top searched job categories for Full Time 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:
Full Time Tesla Computer Science jobs near you
DATA SCIENTIST

DATA SCIENTIST

Adidev Technologies Inc

Austin, TX • Remote

Full-time

Posted yesterday

Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME

Apply