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Algorithm Engineer Intern Jobs in Palo Alto, CA (NOW HIRING)

pony.ai

Software Engineer Intern - Generalist

Fremont, CA · On-site

$7.0K - $10K/mo

Design and implement algorithms and evaluation metrics to drive core AI decision-making. * Build ... Strong programming skills in C/C++, Python, and software design * Strong foundation in mathematics ...

pony.ai

Software Engineer Intern - Generalist

Fremont, CA · On-site

$7.0K - $10K/mo

Design and implement algorithms and evaluation metrics to drive core AI decision-making. * Build ... Strong programming skills in C/C++, Python, and software design * Strong foundation in mathematics ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent ... Develop and evaluate novel algorithms with both academic rigor and production feasibility * Present ...

Dolby

Imaging Software Engineer Intern

Sunnyvale, CA · On-site

$50 - $55/hr

You'll be working on the development, implementation, test engineering and quality assurance of cutting-edge imaging/video processing algorithms, Dolby Vision and related technologies. Mentored by ...

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All JobsAlgorithm Engineer Intern JobsAlgorithm Engineer Intern Jobs in Palo Alto, CA

Algorithm Engineer Intern information

See Palo Alto, CA salary details

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How much do algorithm engineer intern jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for algorithm engineer intern in Palo Alto, CA is $22.70, according to ZipRecruiter salary data. Most workers in this role earn between $18.94 and $24.57 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an algorithm engineer intern?

Excelling as an Algorithm Engineer Intern requires strong problem-solving abilities, proficiency in programming languages such as Python or C++, and a solid understanding of data structures, algorithms, and mathematics, often supported by ongoing studies in computer science or a related field. Familiarity with version control systems like Git, as well as experience with machine learning frameworks or relevant academic coursework, is typically expected. Excellent communication skills, a collaborative mindset, and eagerness to learn set candidates apart in this team-oriented environment. These skills are crucial to successfully contribute to real-world projects, adapt quickly, and effectively solve technical challenges in dynamic work settings.

What types of projects or tasks can I expect as an algorithm engineer intern?

As an Algorithm Engineer Intern, you can expect to work on a mix of real-world projects, such as developing and optimizing algorithms, analyzing data sets, or assisting in research and prototyping. You may also help implement algorithmic solutions for existing products or services under the guidance of senior engineers and participate in code reviews and team meetings. Interns often collaborate closely with software engineers, data scientists, and other team members, gaining exposure to both technical and cross-functional work. These experiences provide valuable hands-on training and a springboard for future roles in software engineering or data science.

What does an algorithm engineer intern do?

An Algorithm Engineer Intern develops, optimizes, and implements algorithms to solve complex problems in fields like machine learning, data processing, or computer vision. They work closely with experienced engineers to analyze large datasets, improve existing models, and write efficient code. Responsibilities may include researching new algorithmic approaches, debugging issues, and testing performance. This role requires strong mathematical skills, programming proficiency (commonly in Python, C++, or Java), and familiarity with data structures and algorithms.

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Algorithm Engineer Intern jobs near you
Infographic showing various Algorithm Engineer Intern job openings in Palo Alto, CA as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $47,226 per year, or $22.7 per hour.

LLM Algorithmic Optimization Engineer - Intern

NIO

San Jose, CA • On-site

$38 - $46/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Job description

JOB DESCRIPTION
About NIO
NIO is a pioneer and a leading company in the premium smart electric vehicle market. Founded in November 2014, NIO's mission is to shape a joyful lifestyle. NIO aims to build a community starting with smart electric vehicles to share joy and grow together with users.
NIO designs, develops, jointly manufactures and sells premium smart electric vehicles, driving innovations in next-generation technologies in autonomous driving, digital technologies, electric powertrains and batteries. NIO differentiates itself through its continuous technological breakthroughs and innovations, such as its industry-leading battery swapping technologies, Battery as a Service, or BaaS, as well as its proprietary autonomous driving technologies and Autonomous Driving as a Service, or ADaaS.
NIO's product portfolio consists of the ES8, a six-seater smart electric flagship SUV, the ES7 (or the EL7), a mid-large five-seater smart electric SUV, the ES6, a five-seater all-round smart electric SUV, the EC7, a five-seater smart electric flagship coupe SUV, the EC6, a five-seater smart electric coupe SUV, the ET7, a smart electric flagship sedan, and the ET5, a mid-size smart electric sedan.
About NIO
NIO is a pioneer and a leading company in the premium smart electric vehicle market. Founded in November 2014, NIO's mission is to shape a joyful lifestyle. NIO aims to build a community starting with smart electric vehicles to share joy and grow together with users.
NIO designs, develops, jointly manufactures and sells premium smart electric vehicles, driving innovations in next-generation technologies in autonomous driving, digital technologies, electric powertrains and batteries. NIO differentiates itself through its continuous technological breakthroughs and innovations, such as its industry-leading battery swapping technologies, Battery as a Service, or BaaS, as well as its proprietary autonomous driving technologies and Autonomous Driving as a Service, or ADaaS.
NIO's product portfolio consists of the ES8, a six-seater smart electric flagship SUV, the ES7 (or the EL7), a mid-large five-seater smart electric SUV, the ES6, a five-seater all-round smart electric SUV, the EC7, a five-seater smart electric flagship coupe SUV, the EC6, a five-seater smart electric coupe SUV, the ET7, a smart electric flagship sedan, and the ET5, a mid-size smart electric sedan.
Roles and Responsibilities:
  • Conduct research and apply cutting-edge technologies to optimize Large Language Models (LLMs) and multimodal models, exploration and implementation of the core algorithmic optimization on heterogeneous architectures, for highly efficient LLM inference as well as deployment across distributed and heterogeneous hardware environments.
  • Focus on model optimization from a systems perspective, ensuring efficient deployment in the vehicle's digital cockpit and advanced driving (AD) domain.
  • Collaborate with cross-functional teams to ensure the integration of optimized models into real-world automotive applications.
  • Contribute to the entire pipeline from research, development, and testing, through to deployment on hardware, including GPUs and other distributed systems.

Qualifications:
  • Currently pursuing or completed a PhD or Master's degree in Computer Science, Computer Engineering, Applied Mathematics, Communications, Electronics, or a related field with relevant research projects and publications.
  • Strong understanding of GPU/NPU architecture and optimization techniques to identify and address bottlenecks.
  • Proficient in LLM and VLM architectures and algorithms, familiar with transformer based NLP / Audio / CV algorithms and technologies.
  • Proficiency in Python and experience with AI-related training and inference tools such as PyTorch.
  • Proficiency in C/C++ programming, familiar with at least one commonly used LLM inference engines.
  • Hands-on experience with model-serving frameworks such as Open Neural Network Exchange (ONNX).
  • Familiarity with debugging code in distributed computing environments.Experience in LLM inference optimization on resource constrained edge devices is a plus.

Preferred Qualification:
  • Ph.D. in computer science, artificial intelligence, or related fields; or Masters degree + 3 years of relevant industry experience
  • Experience in inference optimization techniques of deep learning models or libraries on hardware architectures;
  • Familiar with microkernel architecture, Linux kernel, hypervisor, middleware, and application framework
  • Those who have good publication records and have published high impact, innovative papers are preferred

Compensation:
The US base salary range for this full-time position is $38.00 - $46.00.
  • Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
  • Please note that the compensation details listed in US role postings reflect the base salary only. It does not include discretionary bonus, equity, or benefits.

Benefits:
Along with competitive pay, as a full-time NIO employee, you are eligible for the following benefits on the first day you join NIO:
  • CIGNA EPO, HSA, and Kaiser HMO medical plans with $0 for Employee Only Coverage.
  • Dental (including orthodontic coverage) and vision plan. Both provide options with a $0 paycheck contribution covering you and your eligible dependents.
  • Company Paid HSA (Health Savings Account) Contribution when enrolled in the High Deductible CIGNA medical plan
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with Brokerage Link option
  • Company paid Basic Life, AD&D, short-term and long-term disability insurance
  • Employee Assistance Program
  • Sick and Vacation time
  • 13 Paid Holidays a year
  • Paid Parental Leave for first 8 weeks at full pay (eligible after 90 days of employment with NIO)
  • Paid Disability Leave for first 6 weeks at full pay (eligible after 90 days of employment with NIO)
  • Voluntary benefits including: Voluntary Life and AD&D options for you, your spouse/domestic partner and dependent child(ren), pet insurance
  • Commuter benefits
  • Mobile Cell Phone Credit
  • Healthjoy mobile benefit app supporting you and your dependents with benefit questions on the go & support with benefit billing questions
  • Free lunch and snacks
  • Onsite gym
  • Employee discounts and perks program

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