1

Ups Computer Science Jobs in California (NOW HIRING)

Drive the development process, including release planning, iteration planning, daily stand-ups ... Bachelor's degree in geography, GIS, computer science, engineering, or related fields Recommended ...

Engineer high-speed, multi-layer stack-ups encompassing application processors, digital processors ... OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and ...

Engineer high-speed, multi-layer stack-ups encompassing application processors, digital processors ... OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and ...

Software Engineer 2

San Jose, CA · On-site +1

$65.32 - $81.65/hr

You will collaborate with engineers, participate in stand-ups and cross-functional meetings, and ... Education in Computer Science, Engineering, or equivalent; Bachelor's or Master's degree is a plus.

Our specialized experience includes design for data centers, healthcare, science and technology ... UPS), grounding, lighting, security and fire protection is preferred Location: Irvine, CA ...

Scrum Master

Berkeley, CA · On-site

$65 - $70/hr

Facilitate all Scrum ceremonies - daily stand-ups, sprint planning, backlog refinement, demos, and ... Bachelor's or Advanced Degree in Engineering, Computer Science, or a related field * Scrum Master ...

... sign-ups and user frequency. You will act as a strategic leader, helping make authentication and ... Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or ...

Participate in daily stand-ups, sprint planning, and retrospectives. Required Skills & Qualifications: * Bachelor's degree in Computer Science, Engineering, or a related field. * 4+ years of ...

Showing results 21-40

Ups Computer Science information

See California salary details

$24.2K

$47.8K

$78K

How much do ups computer science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for ups computer science in California is $47,757.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $51,300.00 per year, depending on experience, location, and employer.

What is a UPS computer science job?

UPS Computer Science jobs involve using technology and software development skills to support the operations of UPS, one of the world's largest package delivery companies. These roles can include tasks such as developing and maintaining logistics software, optimizing delivery routes, managing databases, and ensuring network security. Employees in these positions work with various technologies to improve efficiency, data analysis, and customer service within the company. Typical job titles might include software engineer, systems analyst, or IT support specialist. UPS values innovative thinkers who can help streamline their complex logistics operations through technical solutions.

What types of projects do computer science professionals at UPS typically work on, and how do these projects impact daily operations?

Computer Science professionals at UPS often work on projects such as optimizing logistics algorithms, developing internal software tools, enhancing cybersecurity measures, and improving package tracking systems. These projects directly support the efficiency and reliability of UPS’s delivery network, enabling faster and more accurate service for customers. Team members usually collaborate closely with operations, data analytics, and IT infrastructure teams, ensuring that solutions are scalable and aligned with business needs.

What are the key skills and qualifications needed to thrive as a computer scientist at UPS, and why are they important?

To thrive as a Computer Scientist at UPS, you need a solid background in computer science principles, programming languages (such as Java, Python, or C++), and a relevant degree in computer science or a related field. Familiarity with software development tools, database management systems, and cloud platforms is typically required, along with certifications like AWS Certified Solutions Architect or CompTIA Security+. Strong problem-solving abilities, teamwork, and effective communication are crucial soft skills for collaborating on complex projects and adapting to technological changes. These skills ensure the development and maintenance of efficient, secure, and innovative systems that support UPS's logistics and business operations.

What is the difference between Ups Computer Science vs Software Developer?

AspectUps Computer ScienceSoftware Developer
Required CredentialsBachelor's in Computer Science or related field, certifications like CompTIA or CiscoBachelor's in Computer Science, Software Engineering, or related field; certifications vary
Work EnvironmentIT departments, technical support, network managementDesigning, coding, testing software applications in tech companies or firms
Employer & Industry UsageIT service providers, corporate IT departmentsTech companies, startups, software firms
Common Search & ComparisonYesYes

Ups Computer Science professionals typically focus on network infrastructure, system support, and technical troubleshooting, often working within IT departments. Software Developers primarily design and build software applications, working in development teams. While both roles require a computer science background, their daily tasks and work environments differ significantly.

Are computer science graduates struggling to find jobs?

Computer science graduates often find good job opportunities due to high demand for skills in programming, software development, and data analysis. However, competition can vary based on location, specialization, and experience, making continuous learning and certifications valuable for improving employability.

What job categories do people searching Ups Computer Science jobs in California look for?

The top searched job categories for Ups Computer Science jobs in California are:

Infographic showing various Ups Computer Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, 4% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $47,757 per year, or $23 per hour.

Software Engineer Intern (US)

Deep Infra Inc.

Palo Alto, CA • On-site

Internship

Re-posted 8 days ago


Job description

DeepInfra is seeking talented and motivated Software Engineering Interns to join our team. As an intern, you will be working closely with our experienced engineering team to design, develop, and deploy the top open AI models at scale. This is an excellent opportunity to gain hands-on experience in building scalable and efficient software systems, while working on cutting-edge AI models and algorithms.
What You’ll Do

  • Collaborate with the engineering team to design, develop, and test inference solutions for the top AI models.
  • Implement and optimize AI models using Python, C++, CUDA, NCCL
  • Monitor and maintain the live service.
  • Work on feature development, bug fixing, and code reviews to ensure high-quality software delivery
  • Participate in daily stand-ups, code reviews, and design discussions to ensure seamless collaboration
  • Stay up-to-date with industry trends and advancements in AI and machine learning
  • Try new things
  • Ship stuff

What You Bring

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field
  • Strong fundamental knowledge in computer science, including data structures, algorithms, and software design patterns
  • Proficiency in Python, including experience with AI/ML libraries and frameworks (e.g., NumPy, pandas, SciPy, TensorFlow, PyTorch)
  • Familiarity with AI models, Transformers and Diffusers
  • Experience with version control systems (e.g., Git) and agile development methodologies
  • Excellent problem-solving skills, with the ability to debug and optimize code
  • Strong communication and teamwork skills, with the ability to effectively collaborate with cross-functional teams

Why DeepInfra

  • Work on cutting-edge AI model serving - the systems that power the next generation of LLMs and multimodal models.
  • Small team, huge impact: your work ships directly to customers.
  • Opportunity to learn from engineers building high-performance inference at scale.
  • Fast-paced environment with ownership, autonomy, and end-to-end responsibility.

How we work
Three traits define the people who thrive here, and this role leans on all three.
Initiative. We take ownership and step in where we can add value. Whether it’s starting something new, improving what exists, or helping move ideas forward, we aim to be proactive and thoughtful in how we contribute.
Drive. We’re energized by hard problems. Building AI infrastructure is complex, and we lean into that. We care about doing things well, moving fast, and continuously improving — because solving meaningful challenges is what motivates us.
Grit. Things don’t always work on the first try — and that’s expected. We stay persistent, adapt quickly, and learn as we go. We take setbacks seriously, but not personally, and use them to get better.
CompensationMonthly range: 7000-8000/month USD