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Intern Vector Jobs in California (NOW HIRING)

Astranis

Antenna Intern (Fall 2026)

San Francisco, CA · On-site

Antenna Intern (Fall 2026) Internships at Astranis typically last for twelve weeks, and are hourly ... Experience measuring components using vector network analyzers, spectrum analyzers, and signal ...

Astranis

Antenna Intern (Fall 2026)

San Francisco, CA · On-site

$29/hr

Antenna Intern (Fall 2026) Internships at Astranis typically last for twelve weeks, and are hourly ... Experience measuring components using vector network analyzers, spectrum analyzers, and signal ...

Unity Technologies

Intern, Infrastructure

Mountain View, CA · On-site

$19.75 - $25.75/hr

The opportunity This summer, you'll join Unity Vector - the team that builds the offline ML ... As an Infrastructure Intern on our Offline Infrastructure team, you'll work alongside experienced ...

FieldAI

Agentic AI/ML Engineer Intern, Solutions

Irvine, CA · On-site

$35 - $50/hr

As an Agentic AI/ML Engineer Intern, you will build agentic solutions that turn FieldAI's data and ... Build and optimize RAG pipelines with vector DBs and knowledge graphs to ground agents in the right ...

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All JobsIntern Vector JobsIntern Vector Jobs in California

Intern Vector information

What typical projects or tasks can an Intern Vector expect to work on during their internship?

As an Intern Vector, you can expect to support projects involving data analysis, algorithm development, and software testing, often under the guidance of senior engineers or data scientists. Your daily responsibilities may include assisting with coding, debugging, and documentation, as well as collaborating with team members during meetings or code reviews. This role provides valuable exposure to real-world technical challenges and the opportunity to contribute to meaningful projects, helping you build practical skills and professional relationships that can aid in your future career growth.

What is the difference between Intern Vector vs Intern Data Analyst?

AspectIntern VectorIntern Data Analyst
Required CredentialsBasic coursework in vector mathematics, computer science, or related fieldsCoursework in statistics, data analysis, or related fields
Work EnvironmentTech companies, research labs, or software development teamsBusiness, finance, healthcare, or marketing departments
Employer & Industry UsageUsed in fields involving computer graphics, simulations, or machine learningCommon in industries analyzing data for insights and decision-making
Search & Comparison IntentUnderstanding roles involving vector computations or graphicsRoles focused on data analysis and interpretation

Intern Vector typically involves working with mathematical vectors in tech or research settings, focusing on algorithms or graphics. Intern Data Analyst centers on analyzing data sets to generate insights, often in business or healthcare. While both are internships, their focus areas and skill requirements differ significantly, catering to distinct industry needs.

What are Intern Vectors?

Intern Vector positions are typically internship roles focused on vector mathematics, data structures, or computational tasks involving vectors, often in fields like computer science, data analysis, or engineering. Interns in these roles may assist with coding, machine learning projects, or research that involves vector operations and algorithms. These internships provide hands-on experience, mentorship, and a chance to develop technical skills relevant to the industry. Intern Vectors help bridge academic knowledge with real-world applications, giving students a valuable entry point into their chosen fields.

What are the key skills and qualifications needed to thrive as an Intern Vector, and why are they important?

To thrive as an Intern Vector, you typically need a background in mathematics, computer science, or engineering, supported by ongoing pursuit of a relevant degree. Familiarity with programming languages (such as Python or C++), data analysis tools, and version control systems like Git is often expected. Strong communication, teamwork, and adaptability help you integrate into professional environments and contribute effectively to projects. These skills and qualities are crucial for successfully applying academic knowledge in practical settings and for building a foundation for future career growth.
What are the most commonly searched types of Vector jobs in California? The most popular types of Vector jobs in California are:
What are popular job titles related to Intern Vector jobs in California? For Intern Vector jobs in California, the most frequently searched job titles are:
What job categories do people searching Intern Vector jobs in California look for? The top searched job categories for Intern Vector jobs in California are:
What cities in California are hiring for Intern Vector jobs? Cities in California with the most Intern Vector job openings:
Intern Vector jobs near you

Intern - Vector Compute Architect

Bolt Graphics

Sunnyvale, CA • On-site

$40/hr

Temporary

Posted 17 days ago

Job description

Bolt Graphics is a semiconductor startup based in Sunnyvale, CA building the fastest and most efficient graphics processors. We pride ourselves on our first principles approach to solving problems. We are energized by our mission to reduce the barrier of entry for content creation and consumption. Our goal is to enable everyone to easily create, simulate and consume immersive experiences as vividly as they can imagine them.
Our Values
  • Be Fearless: Unmute yourself. Test boundaries and get proven right.
  • Remain Adaptable: Stay comfortable in a continuously changing world. If you're wrong, concede and move on.
  • Educate Your Ego: Selflessly collaborate towards our shared purpose.

About the role:
We are looking for an initiative-taking Vector Compute Architect Intern to join our advanced architecture team working on next-generation AI, GPU, and high-performance computer platforms. This role focuses on defining and optimizing vector compute architectures for graphics and scientific computing workloads.
The ideal candidate is pursuing an MS or PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field, with strong background in computer architecture, parallel processing, and performance modeling.
Ideal candidate must be able to travel to our Sunnyvale office for the duration of the internship. The role is hybrid.
Out of state candidates will be considered. The company will not cover for any travel expenses.
What you'll do:
  • Define data parallel microarchitecture satisfying ISA constraints.
  • Drive architecture tradeoff analysis for performance, power, area, bandwidth, latency, and scalability.
  • Develop and review system architecture specifications, interface definitions, and microarchitecture requirements.
  • Collaborate with RTL, verification, physical design, firmware, software, and system teams throughout the development cycle.
  • Lead performance modeling, workload analysis, and bottleneck identification using C/C++/SystemC or similar modeling environments.
  • Define memory hierarchy, coherency architecture, and cache structures.
  • Work closely with verification teams to define architectural test plans and validation strategies.
  • Support silicon bring-up, debug, performance tuning, and post-silicon optimization.
  • Contribute to long-term technology and product roadmap planning.

Qualifications:
  • Pursuing an MS or PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field.
  • Proven work experience in (preferably published):
  • Workload characterization and profiling
  • Performance modeling
  • Out-of-order data dependency and control
  • Utilization / occupancy optimization
  • High-performance architecture design techniques

Experience with one or more of the following:
  • CPU/GPU/NPU architectures
  • NoC/interconnect architectures
  • Cache coherency protocols (CHI/ACE/CXL)
  • High-speed interfaces (PCIe, UCIe, Ethernet)
  • Memory systems (DDR, LPDDR, HBM, GDDR)
  • Power, performance, and area optimization
  • Strong knowledge of RTL development and verification methodologies.
  • Experience with architecture modeling and performance analysis tools.
  • Familiarity with firmware/software interaction in complex SoC systems.
  • Excellent problem-solving, communication, and leadership skills.

What You Will Gain
  • Hands-on experience working on cutting-edge vector compute.
  • Opportunity to collaborate with experienced architecture, software, firmware, and silicon design teams.
  • Exposure to full-chip architecture trade-offs in advanced process technologies.
  • Real-world experience in next-generation GPU system development.

Preferred Skills
  • Strong communication and technical presentation skills.
  • Self-driven and capable of working in a fast-paced startup or research-oriented environment.
  • Passion for AI, GPUs, high-performance computing, and advanced semiconductor technologies.

Compensation Range: $40 per hour (California). This range represents the anticipated base pay for this role; the final offer may vary based on qualifications, experience, and location.
Bolt is committed to building a diverse and inclusive environment in which we recognize and value each other's differences as well as fostering a culture that promotes its core values: Professionalism, Integrity, and Respect. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, or status as a protected veteran.

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