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Internship Practice Fusion Jobs in California (NOW HIRING)

LanceSoft, Inc.

Software Engineer I

San Diego, CA · On-site

Navy's GPS-based data fusion system. The role involves development, testing, and installation of ... practices and support DevSecOps-aligned workflows • Collaborate across systems, hardware, and ...

Waev Inc

Engineering Quality & Data Coordinator

Anaheim, CA · On-site

$71K - $75K/yr

Support and enforce data-management workflows, permissions, and best practices for the engineering ... Experience with Autodesk Inventor, Vault, and/or Fusion Manage (PDM/PLM) is a plus. * Exposure to ...

Slope

2026 Early Career Firmware Engineer

Costa Mesa, CA · On-site

$112 - $149/hr

... sensor fusion, and networking technology to the military in months, not years. ABOUT THE ROLE ... Understanding and application of coding best practices, board bring up and debugging * Some ...

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Internship Practice Fusion information

What is an internship at Practice Fusion?

Internship Practice Fusion positions are internship opportunities offered by Practice Fusion, a healthcare technology company specializing in electronic health records (EHR). These internships provide students and recent graduates with hands-on experience in various fields such as software engineering, product management, data analysis, and healthcare IT. Interns work on real-world projects, collaborate with experienced professionals, and gain insights into the digital healthcare industry. The goal is to help interns develop relevant skills, expand their professional network, and potentially secure full-time roles after graduation.

What types of projects do interns typically work on at Practice Fusion, and how do these experiences contribute to professional growth?

Interns at Practice Fusion often collaborate on real-world projects such as building healthcare technology solutions, improving electronic health record (EHR) features, or analyzing user data to enhance product performance. These projects are designed to provide hands-on experience in a fast-paced, team-oriented environment, allowing interns to develop both technical and communication skills. Interns frequently work alongside engineers, product managers, and healthcare professionals, gaining valuable industry insights and mentorship that can accelerate their career growth in health tech. The exposure to cross-functional teams and impactful projects prepares interns for future full-time roles in technology and healthcare.

What are the key skills and qualifications needed to thrive as an intern at Practice Fusion, and why are they important?

To thrive as an intern at Practice Fusion, you generally need a background in computer science, software engineering, or a related field, with strong analytical and problem-solving skills. Experience with programming languages (such as Java, Python, or SQL), familiarity with healthcare IT systems, and knowledge of electronic health records (EHR) platforms are typically required. Strong communication, teamwork, and adaptability help interns excel in collaborative and fast-paced environments. These skills and qualifications enable interns to effectively contribute to healthcare technology projects and support Practice Fusion’s mission of improving healthcare through innovative software.

What is the difference between Internship Practice Fusion vs Medical Assistant?

AspectInternship Practice FusionMedical Assistant
CredentialsTypically no formal certification required; internship may be part of trainingCertification or diploma often preferred or required
Work EnvironmentHealthcare settings, shadowing or assisting in clinicsClinics, hospitals, outpatient facilities
Job RoleLearning and observing healthcare practices, supporting staffPerforming clinical and administrative tasks

Internship Practice Fusion provides a training opportunity for individuals interested in healthcare, focusing on observation and support. Medical Assistants are trained professionals performing clinical and administrative duties. While internships are often temporary and educational, Medical Assistants are employed staff with specific certifications. Both roles are essential in healthcare settings, but they differ in responsibilities and credential requirements.

What are popular job titles related to Internship Practice Fusion jobs in California?

For Internship Practice Fusion jobs in California, the most frequently searched job titles are:

What job categories do people searching Internship Practice Fusion jobs in California look for?

The top searched job categories for Internship Practice Fusion jobs in California are:

What cities in California are hiring for Internship Practice Fusion jobs?

Cities in California with the most Internship Practice Fusion job openings:

Internship Practice Fusion jobs near you
Infographic showing various Internship Practice Fusion job openings in California as of July 2026, with employment types broken down into 74% Full Time, 7% Part Time, and 19% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

NVIDIA 2027 Internships: Ph.D. Research Autonomous Vehicles

Santa Clara, CA • On-site

Nvidia Corporation
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer

Learn more about Nvidia Corporationexternal

Full-time

Posted 12 days ago

Job description

By submitting your resume, you acknowledge that your Ph.D. Research Autonomous Vehicles internship application will be processed in accordance with NVIDIA's Applicant Privacy Policy and you agree to our Terms of Service. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.
Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Autonomous Vehicles teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
Learn more about Research at NVIDIA.
What you will be doing:
  • Design and implement cutting-edge techniques in the field of vehicle autonomy.
  • Collaborate with other team members, teams, and/or external researchers.
  • Transfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products, and/or publishing original research.

What we need to see:
  • Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field, for the full duration of the internship; anticipated graduation date (month and year) must be clearly indicated on a resume or CV to be considered.
  • Depending on the internship, prior experience or knowledge requirements could include the following programming skills and technologies:

Python, C++, CUDA, Deep Learning Frameworks (PyTorch, TensorFlow, etc.)
  • Strong background in research with publications at top conferences.
  • Excellent communication and collaboration skills.
  • Experience with large-scale model training is a plus.

Potential internships require research experience in at least one of the following areas:
  • Next-Generation AV Architectures

Chain-of-Thought Reasoning
Mixture-of-Experts
Diffusion-LLMs
Diffusion-based Trajectory Decoding
  • Novel Policy Training Strategies

Closed-loop Training
Off-policy RL
Online RL
Enforcing Consistency
  • Foundation and Multimodal Models

Vision-language models
Multimodal reasoning
Spatial Multimodal Models
Modality Alignment
Model Scaling
Synthetic data
  • Inference Efficiency

Inference Optimizations (e.g., parallel decoding, speculative decoding)
Token Representations
Model Distillation
  • Simulation and Behavior Modeling

Digital Twins
Scenario Generation
World Models
Behavior/Traffic Modeling
  • End-to-End AV Systems

Mapless driving
World Representations
Beyond imitation learning
Safety-aware end-to-end models
  • Perception and Representation Learning

Multi-modal sensor fusion
2D/3D detection, segmentation, depth estimation, scene understanding, neural representations
  • Safe and Trustworthy Autonomous Systems

Principled robustness
Model explainability
Control Barrier Functions (CBFs)
Verification and Validation of Safety-Critical AI Systems
Trustworthy AI/ML for autonomy and robotics
  • Data-Strategies for AI
  • Benchmarking AV

Click hereto learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors.
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.
You will also be eligible for Intern benefits.
Applications are accepted on an ongoing basis.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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Pay

Benefits

Hours and flexibility

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