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Computer Engineering Internship Jobs in Camarillo, CA

AI Data Engineer

Los Angeles, CA ยท On-site

$123K - $148K/yr

Bachelor's degree in Computer Science, Computer Engineering, Data Science, or Data Analytics with a ... internship, contract, or full-time all qualify * Daily fluency with a standard engineering workflow ...

... Engineering, Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing ...

... engineering experience through full-time work, internships, co-ops, or highly relevant project experience. * Strong CAD skills in SolidWorks, CATIA, Siemens NX, or similar. * Experience designing and ...

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... Master's degree in electrical engineering or computer engineering with a focus in digital ...

... engineering experience through full-time work, internships, co-ops, or highly relevant project experience. * Strong CAD skills in SolidWorks, CATIA, Siemens NX, or similar. * Experience designing and ...

Mechanical Engineer

Los Angeles, CA ยท On-site

$125K - $150K/yr

... engineering experience through full-time work, internships, co-ops, or highly relevant project experience. * Strong CAD skills in SolidWorks, CATIA, Siemens NX, or similar. * Experience designing and ...

Bachelor's degree in Mechanical Engineering or related field * 0-2 years of experience or relevant internship experience * Familiarity with CAD software such as SolidWorks, Creo, or similar * Strong ...

Showing results 41-60

Computer Engineering Internship information

See Camarillo, CA salary details

$11

$19

$30

How much do computer engineering internship jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for computer engineering internship in Camarillo, CA is $19.71, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $21.35 per hour, depending on experience, location, and employer.

What is the difference between Computer Engineering Internship vs Software Engineering Internship?

AspectComputer Engineering InternshipSoftware Engineering Internship
Required CredentialsTypically pursuing or completed a degree in computer engineering, electrical engineering, or related fieldsUsually pursuing or completed a degree in computer science, software engineering, or related fields
Work EnvironmentHardware labs, embedded systems, firmware development, and hardware-software integrationApplication development, coding, testing, and software design in office or remote settings
Employer & Industry UsageTech companies, hardware manufacturers, embedded systems firmsSoftware companies, tech startups, IT departments
Common Search & Comparison IntentUnderstanding internship roles involving hardware and embedded systemsExploring software development internship opportunities

Computer Engineering Internships focus on hardware, embedded systems, and firmware, while Software Engineering Internships emphasize coding, application development, and software design. Both roles are valuable entry points in tech but cater to different skill sets and industry areas.

What is a computer engineering internship?

A Computer Engineering Internship is a temporary position designed for students or recent graduates to gain hands-on experience in the field of computer engineering. Interns typically work alongside experienced engineers on projects involving hardware, software, or systems integration. These internships provide practical exposure to real-world engineering challenges, enhance technical skills, and help interns build a professional network. They are often a stepping stone to full-time employment in the technology industry.

What are the key skills and qualifications needed to thrive as a computer engineering intern, and why are they important?

To thrive as a Computer Engineering Intern, you need a solid understanding of computer hardware, software development, and programming languages like C/C++, Java, or Python, often supported by progress toward a relevant degree. Familiarity with version control systems (e.g., Git), debugging tools, and possibly coursework or certification in embedded systems or networking is beneficial. Strong problem-solving abilities, willingness to learn, and effective teamwork and communication skills help interns stand out. These skills enable you to contribute to technical projects, adapt quickly in a dynamic environment, and collaborate successfully with engineering teams.

Which internship is best for computer engineering students?

The best internship for computer engineering students typically involves roles in software development, hardware design, or systems engineering, offering hands-on experience with programming languages like C++ or Python, and tools such as Git or Linux. Internships at technology companies, research labs, or startups that provide mentorship and project-based work are highly valuable for skill development and industry exposure.

What types of projects can I expect to work on during a computer engineering internship?

During a Computer Engineering Internship, you can expect to work on a variety of hands-on projects such as developing embedded systems, assisting with hardware testing, or writing and debugging code for software applications. Interns often collaborate with cross-functional teams, including hardware engineers and software developers, to contribute to real-world product development. These projects are designed to provide practical experience, enhance your technical skills, and help you understand the workflow within a professional engineering environment. You may also have opportunities to present your work and receive feedback from experienced mentors.

What do computer engineering interns do?

Computer engineering interns assist with designing, developing, and testing hardware and software systems. They often work on coding, troubleshooting, and documentation under the supervision of experienced engineers, gaining practical skills in programming languages, circuit design, and system integration. Internships typically involve collaborative projects and may require familiarity with tools like CAD software or programming environments.
What are the most commonly searched types of Computer Engineering jobs in Camarillo, CA? The most popular types of Computer Engineering jobs in Camarillo, CA are:
What are popular job titles related to Computer Engineering Internship jobs in Camarillo, CA? For Computer Engineering Internship jobs in Camarillo, CA, the most frequently searched job titles are:
What cities near Camarillo, CA are hiring for Computer Engineering Internship jobs? Cities near Camarillo, CA with the most Computer Engineering Internship job openings:
Infographic showing various Computer Engineering Internship job openings in Camarillo, CA as of August 2026, with employment types broken down into 6% Internship, 81% Full Time, and 13% Part Time. Highlights an 100% In-person job distribution, with an average salary of $40,996 per year, or $19.7 per hour.

AI Data Engineer

UJET

Los Angeles, CA โ€ข On-site

$123K - $148K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 19 days ago


Job description

About Us
UJET leads the way in AI-powered contact center innovation, delivering a future-proof, cloud platform that redefines the customer experience with cutting-edge AI, true multimodality, and a mobile-first approach. We infuse AI across every aspect of your customer journey and contact center operations, to drive automation and efficiency. UJET's AI solutions empower agents, optimize customer journeys, and transform contact center operations for elevated experiences and actionable insights. Built on a cloud-native architecture with a unique CRM-first approach, UJET ensures unmatched security, scalability, and prioritized data insights (without storing PII). Designed for effortless use, UJET partners with businesses to deliver exceptional interactions, smarter decision-making, and accelerated growth in the AI-driven world.
Learn more at www.ujet.cx.
Opportunity
UJET's conversation-analytics product, Spiral, is helping product, support, and CX leaders see what their customers are actually saying at scale. We ingest voice recordings, chat transcripts, surveys, and ticket data from every CCaaS, CRM, and storage system our customers can hand us, transcribe and PII-redact at scale, and use LLMs to surface user stories, taxonomies, and the trends that drive product and operational decisions.
We are hiring an AI Data Engineer to own the seam between "customer says yes" and "data is flowing into Spiral." You will run technical discovery with new customers, design the integration that brings their data into our pipeline, and then build it end-to-end, writing the code that adapts their data, wiring the cloud infrastructure that hosts the connection, and shipping the result into production. This is a hybrid role that combines pre-sale technical scoping with hands-on data-pipeline engineering. You will be the customer's technical counterpart from the first discovery call through steady-state ingest. You will be a member of the Spiral engineering team in every operational sense - working in a shared codebase, opening pull requests, participating in code review, debugging in production, and shipping changes through CI alongside the rest of engineering. This role is engineering-team membership with a customer-facing dimension; it is not a customer-success or pre-sales role that occasionally touches code.
Responsibilities
  • Run technical discovery with new customers to scope what data is available, where it lives, and how it will reach Spiral
  • Design the integration approach for each customer: whether that's cloud-to-cloud bucket access, vendor push uploads, scheduled API pulls, file drops, or auth-protected exports and explain the tradeoffs to their engineering counterpart
  • Shepherd credential and access exchange between the customer and Spiral - cloud access policies, OAuth or token-based authentication setup, key handoff - and stay on the thread until access is verified end-to-end
  • Write the code that adapts each customer's data shape into our ingestion contract, and ship it to production through code review
  • Make infrastructure-as-code changes to provision the cloud resources, identity grants, and secrets each new customer requires
  • Configure and operate the orchestration that runs each customer's recurring ingest; validate end-to-end through run history, logs, and metrics
  • Reconcile ingested data against source-system counts; diagnose and backfill historical gaps
  • Own customer relationships post-go-live: schema changes, new feed requests, data-format drift, and surfacing upsell opportunities back to the account team
  • Partner with Sales, Customer Success, and Spiral Engineering to compress time-to-first-data on every new deal

Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, Data Science, or Data Analytics with a CS/computing focus - or an equivalent rigorous technical degree
  • Prior production engineering experience with data pipelines, integrations, or analytics infrastructure - internship, contract, or full-time all qualify
  • Daily fluency with a standard engineering workflow: working in a shared codebase via git, authoring pull requests, giving and receiving substantive code review, debugging from logs, and shipping through CI - this is everyday work in this role, not a once-a-quarter activity
  • Comfort using AI as part of the everyday engineering workflow - LLM APIs, AI-assisted coding tools, prompt design, and a clear-eyed view of where AI multiplies the work and where its first pass needs to be overridden
  • Comfort writing production code in a modern typed or scripting language (years of experience scaling with level - new grads with strong fundamentals welcome)
  • Working knowledge of a major cloud provider - identity and access management, object storage, secrets handling, and the security model that governs cross-organization access
  • Experience with at least one data orchestration or ETL system, whether durable workflow, batch scheduler, or stream processor
  • Strong SQL chops; comfortable querying data to validate and reconcile what landed against what was sent
  • Customer-facing communication skills - able to hold a technical conversation with a customer's engineering counterpart and leave with a decision
  • Clear written communication, async-first, as most coordination happens over email, chat, and tickets across multiple timezones
  • A bias toward decisions over open questions, and a habit of writing the recommendation, not just the options

Stand-out Qualifications
  • Hands-on experience with Temporal or another durable workflow engine
  • OAuth integration experience (Salesforce JWT Bearer or Client Credentials especially)
  • Infrastructure-as-code experience with AWS CDK or Terraform
  • Experience with a columnar analytics database (ClickHouse, BigQuery, Snowflake, Redshift, DuckDB)
  • Background in contact center, CCaaS, or CX domains (UJET, Genesys, Five9, Twilio, Aircall, Talkdesk, NICE)
  • Comfort estimating cost and runtime of transcription or LLM pipelines at six-figure-file scale
  • Experience building with LLM APIs (Anthropic, OpenAI, AWS Bedrock, or equivalent) - evaluation, prompt design, cost and latency tradeoffs
  • Has used AI coding agents on a non-trivial engineering project and can articulate where the agent multiplied them and where they had to override its first pass
  • Prior experience as a Forward-Deployed Engineer, Solutions Engineer, Implementation Engineer, or Technical Account Manager

Annual US Hiring Range: $80,000 - $100,000
*A candidate's actual placement within this range will depend on geographic location, work experience, education, and/or skill level.
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.
This is hybrid role with in-office collaboration required in Santa Monica, California. Applicants must currently reside in the Greater Los Angeles area to be considered; no relocation will be provided.
#LI-Hybrid
UJET is an Equal Opportunity Employer
UJET provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Compliance Responsibilities
Security, data protection and compliance (SDPC) are paramount to the success of our partnerships. All roles at UJET require compliance with legal and regulatory requirements and acceptance and adherence to all policies and standards within UJET. Personnel acknowledges they are personally responsible for reporting any suspected violations or abuse and are required to complete SDPC training and fulfill role-specific SDPC responsibilities.
Why UJET?
  • Impactful Work: Be at the forefront of innovation, directly shaping the future of customer experience.
  • Dynamic Culture: Join a collaborative, inclusive team that values big ideas, creative solutions, and powerful relationships.
  • Comprehensive Benefits: Medical, dental, vision, 401(k) plan, wellness benefits, and more.