Software Engineering Internship jobs at Paramount

Qualcomm SoC is a plus QNX OS experience Linux Yocto kernel and services development Android kernel, framework Audio system, Audio related device drivers (e.g. for A2B) System performance optimization with Linux Yocto, QNX or AAOSP.

Kamps is looking for a highly qualified and motivated technical leader to architect and oversee advanced automation solutions integrating PLCs, Python-based applications, machine vision, containerized deployments (K3s), and database systems. This role will lead a team that drives Industry 4.0 initiatives and smart manufacturing projects. This position is largely remote with occasional in office days required at the corporate office in Grand Rapids, MI. This individual will be expected to work collaboratively with the team by utilizing Microsoft Teams and other development tools. Essential Duties and Responsibilities: Lead and mentor a team of automation engineers and developers Design, develop, and maintain AI-powered vision applications and features Build, test, and deploy scalable APIs Design and maintain containerized applications using K3s for edge and on-prem deployments Participate in the full software development lifecycle: requirements analysis, coding, testing, documentation, deployment, and support Write and perform unit, integration, and end-to-end tests to ensure reliability and performance Contribute to Agile ceremonies, including daily stand-ups, planning meetings, and retrospectives Troubleshoot and resolve issues across the stack (front-end, back-end, infrastructure) Required Skills and Qualifications: Bachelor's or higher in Computer Science, Engineering, or related field, or equivalent experience Experience with front-end frameworks: React/Remix or Angular (TypeScript) and backend languages/frameworks: TypeScript, Python, or C#/ASP.NET Hands-on experience with K3s or Kubernetes for container orchestration Proficiency in databases such as Postgres or SQL Server Proficiency in Kubernetes, Docker, and cloud platforms (Azure, AWS, or GCP) Familiarity with CI/CD pipelines, OAuth2, REST APIs, and microservices architecture Excellent problem-solving, communication, and documentation skills Quick learner, adaptable to new technologies and techniques Preferred Qualifications: Knowledge of PLCs (Programmable Logic Controllers) in manufacturing environments Knowledge or experience with Rancher/K3s tooling Experience with computer vision libraries and models (OpenCV, TensorFlow, PyTorch, YOLO) Prior work in manufacturing, logistics, or industrial automation Experience with build and deploy CI/CD pipelines for AI/ML workloads Knowledge of observability tools such as Grafana, OpenTelemetry, and Prometheus Knowledge of pub/sub messaging systems, including experience with MQTT Languages, Frameworks, and Tools: We commonly use the following tools in our development process. This is not an exhaustive list, but familiarity with these technologies will be considered advantageous and will contribute to success in this role. Programming Languages: Python, TypeScript, C# Frameworks & Libraries: .NET, OpenCV, TensorFlow, PyTorch, YOL Containerization & Orchestration: Docker, Kubernetes, K3s, Rancher/K3s toolin Cloud, Messaging & Architecture: Azure, MQTT, microservices architectur Databases: PostgreSQL, SQL Serve DevOps & CI/CD: Azure DevOps, Git, CI/CD pipelines Observability & Monitoring: Grafana, Prometheus, OpenTelemetry This list of duties is not intended to be all-inclusive and may be expanded to include other duties or responsibilities that senior management may deem necessary.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Our team's mission is to scale the production Waymo Driver using cutting edge ML techniques. In this team, you will be working on state-of-the-art ML models for autonomous driving and have the opportunity to improve Waymo's onboard performance in the real world. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! You will: * Design and implement experiments for post-training of large behavior models * Evaluate and iterate on the model within the closed-loop simulation environment to rigorously assess the model's performance and identity failure modes * Leverage modern reinforcement learning algorithms and our industry-leading datasets to enhance the model's performance You have: * Strong foundation in ML and/or Robotics * Proficiency in Python * Familiarity with Jax or PyTorch We prefer: * Strong hands-on SWE skills * Experience in AV planning and related research * Pursuing a PhD in a relevant field Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly Masters Pay $70-$70 USD The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85-$85 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email *********************************. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Strategic Selection is responsible for the component that scores short team routing/maneuver decisions for the ADV. This team handles immediate routing decisions for self-driving cars, looking about a minute ahead. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! You will: * Coding * Debugging * Triaging You have: * Proficiency in Python or C++ * Hands on experience with deep learning frameworks * Data mining experience We prefer: * Proficiency in ML frameworks * Expertise in research domains of Deep Learning, AI architecture * Previous Internship of ML related projects Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85-$85 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email *********************************. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! You will: * Understand difficult-to-visualize manipulations and computations on 4-5 dimensional tensors, devise ways to express them cleanly and implement them on domain-specific architectures * Deep dive into the capabilities of unfamiliar hardware to map operations to it * Quickly create minimally featured software prototypes with light automated testing to explore a design space You have: * GPU, Pallas or other accelerator programming * Computer architecture fundamentals * Professional competency in C++ or Python * Currently pursuing a PhD in related field or Masters with significant industry experience We prefer: * Experience with compilers for CPU or GPU or ML accelerators * Experience with NVIDIA CUTLASS, CuTile, Pallas, or Triton-like Domain Specific Languages * Experience with MLIR, JAX, ONNX, StableHLO or similar compiler intermediate representations Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly Masters Pay $70-$70 USD The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85-$85 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email *********************************. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Our team develops full-stack cutting edge ML solutions for autonomous vehicles behavior improvements to achieve Waymo's critical milestones and realize its ML vision. This encompasses modeling enhancements via feature engineering, data shaping, model design and tuning. This team plays a key role in translating and applying advancements from foundation models to realize real product impacts. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! You will: * Collaborate with a world-class team of researchers and engineers to develop cutting edge large models for planning of autonomous vehicles * Incorporate the large models into production planning system for real-world applications with improved performance You have: * Currently pursuing a PhD degree in Computer Science, Machine Learning, Robotics or a similar discipline * Experience with Deep Learning, Generative Models * Python coding skills * Familiar with deep learning frameworks such as PyTorch, JAX, Tensorflow We prefer: * Publications on top-tier conferences such as: CVPR, ICCV, ECCV, ICLR, ICML, NeurIPS, IROS, CoRL, ACL, EMNLP, etc * Experience in Autonomous Driving domain Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85-$85 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email *********************************. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Driver Understanding and Evaluation (DUE) team at Waymo is focused on deeply understanding and assessing the performance of the Waymo Driver. They develop and utilize advanced evaluation methodologies, including machine learning-based metrics and reward functions, to analyze driving behavior and capabilities. Collaborating broadly with Simulation, System Engineering, Research, and Onboard Software teams, DUE plays a critical role in the validation and improvement of the Waymo Driver, including the evaluation of foundational AI models. Their efforts support the scalable and rigorous assessment necessary to ensure the safety and efficacy of Waymo's autonomous technology. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! You will: * Implemented reinforcement learning algorithms and novel reward functions within a high-fidelity autonomous driving simulator * Design and run experiments to train the driving agent, systematically collecting and analyzing performance data to identify behavioral patterns and potential instances of reward hacking * Interactively refine the driving policy and the reward model based on experiment results, implementing and testing strategies to improve safety and alignment with intended driving behavior * Collaborate with the research team to document experimental setups, present key findings, and contribute to the project's technical direction You have: * Strong programming proficiency in Python and hands-on experience with deep learning frameworks (e.g, Tensorflow) * Solid theoretical understanding of machine learning and reinforcement learning fundamentals, including Markov Decision Processes value functions, and policy gradients * Practical experience applying modern deep RL algorithms (e.g., PPO, SAC, TD3) to continuous control problems * Familiarity with software development best practices, including version control with Git We prefer: * Knowledge of advanced reward learning paradigms such as Reinforcement Learning from Human Feedback (RLHF) or Inverse Reinforcement Learning (IRL) * Experience with large-scale or distributed training of machine learning models Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85-$85 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email *********************************. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Waymo Driver is increasingly powered by state-of-the-art machine learning. The crux of the open challenges remain in the tail end of the scenarios. As we drive millions of RO miles, we need mechanisms to learn from suboptimal driving. With this project, you will be building new levers in the ML models to learn from such data. This involves exploring SOTA fine tuning techniques such as (but not limited to) reinforcement learning. LoRA base finetuning,contrastive learning, etc, improving Waymo driver's abilities to navigate complex real world scenarios. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! You will: * Frame the open-ended real-world problems into well-defined ML problems; apply deep learning, reinforcement learning, imitation learning to these problems. * Develop novel ways to learn from unsupervised driving data. Be able to apply SOTA techniques within Waymo's tooling/infrastructure. * Build data tooling/infrastruction to unblock experimentation. * Use data-driven decision making to evaluate and compare different approaches * Collaborate closely with partner teams such as perception, research, simulation, and evaluation You have: * Experience with deep learning concepts and reinforcement learning and reward functions * Proficient in Python and deep learning frameworks * Proficiency in dealing with large amount of data * Currently pursuing a Masters / PhD degree in Computer Science, Machine Learning, Robotics, or related field We prefer: * Experience in the autonomous driving domain, including areas like motion planning, perception, or control * Experience in integrating ML models into complicated systems * Proficient in C++ * Proficient in PyTorch, JAX, or TensorFlow Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly Masters Pay $70-$70 USD The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85-$85 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email *********************************. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Reinforcement Learning. Specifically, this role will include experiments to address issues like: Sim2real gap, Reward formulation, model interpretability, and safety verification and evaluation. Our intern will work closely with Waymo's foundation models, as well as classical motion planning teams. The focus of the role is on application to real product performance, with the intention of affecting future Waymo driving behavior. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! You will: * Collaborate with researchers and engineers to design, development and implement deep reinforcement learning models for autonomous vehicles planning * Analyze model performance, triage failure cases, and identify opportunities for improvement. Tune the model as needed to improve performance * Stay up- to - date on the latest advancements in autonomous driving and machine learning You have: * Experience with deep learning concepts and reinforcement learning * Proficient in Python and deep learning frameworks such as PyTorch, JAX, or TensorFlow * Currently pursuing a Masters/PhD degrees in Computer Science, Machine Learning, Robotics, or a related field We prefer: * Experience in the autonomous driving domain, including areas like motion planning, perception, or control * Experience in integrating ML models into complicated systems * Proficient in C++ * Conferences such as CVPR, ICCV, ECCV, ICLR, ICML, NeurIPS, IROS, CoRL Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly Masters Pay $70-$70 USD The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85-$85 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email *********************************. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! You will: * Implement, test, and debug C++ or embedded software to improve the efficiency and performance of positioning algorithms and systems. * Develop scripts and tools for data analysis and contribute to triage pipelines to identify and address positioning system issues. * Participate in code reviews, collaborate with experienced engineers to understand system architecture, contribute to design discussions, and ensure high-quality code. You have: * Proficiency in C++. Experience with Python for scripting and data analysis is also highly valuable. * Demonstrated ability to approach complex technical challenges, identify root causes, and implement effective solutions in a software development context. * Familiarity with version control systems (e.g., Git), code review processes, and best practices in software development. We prefer: One or more of the following: * Embedded Systems & Real-time Programming: Hands-on experience with embedded software development, microcontrollers, and optimizing code for resource-constrained, real-time environments. * Robotics & Navigation Fundamentals: Familiarity with concepts in robotics, sensor fusion (e.g., IMUs, GPS, lidar, cameras), inertial navigation, and state estimation algorithms (e.g., Kalman Filters). * Data Analysis & Scientific Computing: Ability to analyze large datasets, identify trends, and use tools like Python (NumPy, SciPy, Pandas) or MATLAB for scientific computing and algorithm prototyping. * Linux Development Environment: Experience developing in a Linux environment, including command-line tools, scripting, and familiarity with build systems. Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly Bachelors Pay $60-$60 USD The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly Masters Pay $70-$70 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email *********************************. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

**Software Developer Intern-Irvine, CA (100% On-site)** At Panasonic Avionics Corporation, interns play a meaningful role in driving innovation and shaping the future of inflight entertainment. We're excited to welcome motivated, forward-thinking students to join our growing teams for Summer 2026. Our paid internships run 100% on-site from May/June through August/September, and **candidates must be actively enrolled students during the program.** **Who We Are:** Ever wonder who brings the entertainment to your flights? Panasonic Avionics Corporation is #1 in the industry for delivering inflight products such as movies, games, WiFi, and now Bluetooth headphone connectivity! How exciting would it be to be a part of the innovation that goes into creating technology that delights millions of people in an industry that's here to stay! To learn more about internship program visit: ************************************** **Responsibilities** Project Scope: + End to end airside and ground automated network validation using AI tools. + Gain the hands-on experience of applying your Networking knowledge to inflight communication systems encompassing LEO and GEO satellite networks using AI tooling, Python, Gitlab pipelines. + Incremental improvement to end to end test validation and software quality Applicants must be authorized to work on a full-time basis for any employer in the U.S. We are unable to sponsor or take over sponsorship of any type of employment-based visa at this time. _The hourly wage range for this position is $25- $43. The final offer amount may vary and is based on the candidates' year in school. The minimum hourly wage for this role will be the greater of the posted range, or minimum wage for the location where the employee will be working, subject to local minimum wage requirements._ **Qualifications** + Degree disciplines: Networking, Computer Science, Electrical Engineering + Knowledge: Linux, networking (DNS, DHCP, firewalls, IP addressing, routing) + Code Skills: python, gitlab + Must be able to commute and work on-site 5 days a week + Must be currently enrolled as a fulltime student at an accredited four-year college or university _Panasonic is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, and any other characteristic protected by law or company policy. All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation. Pre-employment drug testing is required for safety sensitive positions or as may otherwise be required by contract or law. Due to the high volume of responses, we will only be able to respond to candidates of interest. All candidates must have valid authorization to work in the U.S. Thank you for your interest in Panasonic Avionics Corporation_ REQ-153332

About the role: We are looking for interns for Summer 2026. Truly autonomous drones are a new product category that demands a new kind of mobile experience. Forget complex joysticks and awkward tilt-controls: we are crafting completely novel interactions that leverage Skydio's onboard intelligence to empower a much broader, more diverse audience of drone users. An ideal intern candidate is a senior, or MS-level college student with practical project and/or industry experience developing mobile applications on Android. How you'll make an impact: * Design, prototype, and refine advanced drone interfaces, and then polish a consistent mobile experience for release to the world. * Contribute to the development of user interfaces for the world's most advanced autonomous flying camera. * Combine your knowledge of Android ecosystems with our Drone Intelligence API to help create a new gold standard for what a drone app should be. * Improve user experiences by incorporating augmented reality, in-app content creation, and sharing capabilities. * Iterate on designs based on user feedback, internal testing, and your own experiences piloting Skydio drones. What makes you a good fit: * You have a passion for meticulously crafted interfaces that strike the correct balance between ease-of-use, elegance, and power. * For Android, we use: Kotlin, Android Studio, Gradle, adb, Linux, and follow best practices for app development using Android Architecture Components and Jetpack Compose * Experience in C++ and OpenGL is a big plus. * Ability to create tools and automate your workflows using Python scripts * You appreciate the value of code-review and other collaborative development practices. * Bonus points: You've shipped code to the App Store or Google Play store and have experienced the joys (and frustrations) of getting feedback from real users. * Experience with IoT or embedded devices using Android NDK Compensation Range: The annual base salary range for this position is $47/hr for Undergrad, $53/hr for Graduate students, and $58 for PhD students*. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Skydio full-time employees are eligible to enroll in our benefit plans and take advantage of a variety of incentives and stipends. * For some positions the pay may be dependent upon the individual's regional location. #LI-AY1

About the role: Skydio's mission is to make the world safer and more efficient through autonomous drones. Public safety and critical infrastructure customers rely on Drone as First Responder (DFR) to get eyes on scene in seconds and coordinate effective responses. As a full stack intern on the DFR team, you will help build workflows that span across the stack to enable responders to focus on what matters most. The DFR team spans the whole Skydio Cloud stack, from React and Relay for live operations and map‑centric UIs to backend services for incident workflows and integrations with public safety systems like CAD (computer aided dispatch) and evidence management platforms. We build in TypeScript on the frontend and collaborate closely with backend services (commonly Go and Python). As an intern, you'll gain hands-on experience across the stack, collaborating with engineers, designers, and product managers to deliver meaningful features and learn what it takes to ship production software. How you'll make an impact * Design and implement operator-facing features that help first responders coordinate incidents and make faster, safer decisions. * Leverage curiosity, technical skill, and a collaborative mindset to help make the world more productive, creative, and safe with autonomous drones. * Collaborate across functions (product managers, designers, engineers, and support) to deliver high‑quality, impactful features to customers. Project examples * Build operator‑facing features used daily in Drone as First Responder (DFR) to enhance existing capabilities and enable new workflows on Skydio Cloud. * Create real‑time UI for live video and relaying telemetry data from the drone. * Implement map‑centric interactions for placing and managing incident markers (911 calls) with clear affordances and undo/redo. * Ship pre‑merge end‑to‑end tests for critical user journeys to prevent regressions and increase release confidence. What makes you a good fit * Solid software engineering foundation and a commitment to writing clean, well‑architected code. * Junior, senior, or MS-level student with meaningful project or internship experience developing modern web applications that connect to backend APIs and data systems. * Enthusiasm for learning new technologies and collaborating within a fast‑paced team environment. * Experience in modern web development (React, TypeScript, GraphQL, WebGL/Three.js). * Experience building and maintaining scalable APIs, services, and integrations for handling large datasets. * Bonus: familiarity with robotics software development concepts. Compensation Range: The hourly rate for this position is $47/hr for Undergrad, $53/hr for Graduate students, and $58 for PhD students*. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. * For some positions the pay may be dependent upon the individual's regional location. #LI-ZD1

About the role: We are looking for interns for the Summer 2026 Season. Reliable embedded firmware acts as the brain stem of our autonomous drones and accessory products -- bridging the gap between the algorithms and the sensors/mechanical hardware. As an Embedded Software Engineering Intern, you will have the opportunity to help define and develop functionality for internal teams and/or current & future products in a collaborative, fast-paced environment. An ideal intern candidate is a junior, senior, or MS-level college student with industry experience developing device-level embedded software or firmware. About the team: Our team is responsible for large portions of the software engineering stack, working on a wide variety of subsystems. We write bare metal and RTOS microcontroller code (generally STM32 product line), integrate and write code for embedded linux and android platforms (Qualcomm and Nvidia SOCs), maintain the associated linux kernels, and help design and bring up all new electronics. We work closely with both the hardware team and the rest of the software organization, creating the foundation for the rest of the Skydio software team to build upon. How you'll make an impact: Develop and implement the embedded software that runs on the drone and our growing accessory product lines e.g. Skydio Dock Characterize, integrate, and validate key subsystems (e.g. cameras, radios, flight controllers) Bring up and debug new hardware Write interfaces and drivers for sensors, cameras, and other devices What makes you a good fit: Practical experience writing firmware/embedded code for a physical device Proficiency with C++ within the context of embedded systems Proficiency with Python for testing, experimentation, and tools development Ability to write clean code with appropriate abstraction boundaries Ability to read schematics and use standard debugging equipment: oscilloscope, logic analyzer, multimeter Ownership in digging into complex problems Bonus points for embedded linux userspace and kernel development Bonus points for knowledge of debugging systems at ARM assembly code level Compensation Range: The hourly base salary range for this position is $47/hr for Undergrad, $53/hr for Graduate students, and $58 for PhD students*. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Skydio full-time employees are eligible to enroll in our benefit plans and take advantage of a variety of incentives and stipends. *For some positions, compensation may be dependent upon location. #LI-AY1

About the role: As a member of the Wireless Team, you will work on meaningful projects that will add value to Skydio. You will solve complex, interesting problems and learn from a world-class team of engineers and researchers. Potential projects: Video Streaming Enhancements Work with the team to enhance adaptive bitrate algorithms for video streaming Study wireless parameters and use the statistics to guarantee smooth video in all environments Setup test cases and automation to validate the feature Automatic frequency selection Work on algorithms that automatically select a frequency for the drone and docked systems Characterization of various tools that help in the decision making process Test and validate the feature across all interference scenarios Automation Develop test automated test frameworks for drones in Python Integrate test cases to CI/CD pipelines Identify and analyze test failures with the help of data telemetry upload and extraction Setup SQL queries in the automation to catch SW and performance bugs Work with Wireless Systems team to setup KPIs and root cause analysis Ground-to-air Propagation and Interference Modeling for UAVs Collect empirical data for ground-to-air propagation and interference under various environments. Develop and validate path loss and interference models for various altitudes and distances Glass-to-glass Packet Loss Characterization Instrument the system to capture packet loss across software, hardware, and networking subsystems. Investigate packet loss behavior through controlled experiments under varied flight and network conditions. Visualize and interpret results to identify root causes and guide system-level improvements. What makes you a good fit: Relentless curiosity Ability to leverage rock solid fundamentals to create exceptional designs for complicated products Passion for end to end understanding of the wireless link and the channel behavior. Proficiency in wireless background and theory Very strong C/C++/Python SW capabilities Other qualifications that are a plus, but not required: How to use Python for scripting Familiarity with embedded HW and low level coding Familiarity with wireless chipsets firmware, Driver and kernel code Compensation Range: The hourly rate for this position is $47/hr for Undergrad and $53/hr for Graduate students* Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. *For some positions the pay may be dependent upon the individual's regional location. #LI-ZD1

About the role: By combining best-in-class autonomy and cloud-connected real-time visibility, drones are becoming critical and ubiquitous infrastructure that can be deployed and monitored in real-time to solve a variety of problems faster, cheaper, and safer than ever before. As a software engineering intern, you will work on important and exciting projects as part of our Global Government engineering team. An ideal intern candidate is a junior, senior, or graduate-level college student with practical project and/or internship experience developing solutions in the area of robotics or autonomy. This role will be based out of Boston, Massachusetts. How you'll make an impact: * Leverage your past experiences, best practices, and open-ended problem solving skills to help make the world more productive, creative, and safe with autonomous drones. Project Examples: * Build and test customer-facing features to integrate Skydio products with networked systems and/or enable new use cases. * Develop secure, efficient, observable, scalable, and robust software for autonomous behaviors in complex real-world environments. What makes you a good fit: * We welcome every qualified candidate who is eligible to work in the United States to apply. To conform to U.S. export control regulations, applicants should be eligible for any required authorizations from the U.S. Government. * Active Secret or Top-Secret Security Clearance or ability to obtain, as required * You are a junior, senior, or grad-level student with meaningful project and/or internship experience * Solid software engineering foundation and a commitment to writing clean, well-architected code * Proficiency with C++ and/or Python * Bonus points for experience shipping products or features within a collaborative engineering team environment * Bonus points for familiarity with networking or distributed systems * Bonus points for familiarity with robotics software development concepts or real-time networking Compensation Range: The hourly rate for this position is $47/hr for Undergrad and $53/hr for Graduate students* Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. * For some positions the pay may be dependent upon the individual's regional location. #LI-AY1

If you are interested in working with an experienced manufacturing team, this opportunity is perfect for you! The machinist intern will gain an understanding of CNC machining and learn to make parts to tight tolerances. This internship is a fantastic opportunity to grow your personal and professional skills, as well as make an impact within an award-winning aerospace manufacturer! Essential Duties and Responsibilities · Learn to work from and follow process specifications, blueprints, rework & rejection tags, work instructions, relevant process controls, and verbal instructions. · Load machines as required in accordance with router instructions. · Observe machine operation to detect workpiece defects or machine malfunction. · Learn to conduct in process inspections and measure workpiece dimensions to determine accuracy of machine operation. Key Roles · Set up and run jobs. · Care for parts in accordance with procedures. · Communicates issues to team leader in a timely manner and effectively leaves notes for next shift. · Effectively and efficiently utilize measuring tools. Requirements Qualifications & Skills · Excellent verbal and written communication skills. · Self-directed and able to work with limited supervision. · Eager to tackle new projects and ideas. · Ability to communicate effectively with all internal and external customers in both written and oral form. · High attention to detail. ASCEND Internship Program Acutec Precision Aerospace is an award-winning and forward-thinking manufacturer of critical components for aerospace and military aircraft. Our team values collaboration, innovation, and shares their knowledge and experience with those around them. Your ASCEND internship will provide you with fulfilling, exciting experiences and projects, all within a clean, well lit, climate-controlled facility. The ASCEND Internship Program is focused on your long-term success and provides you with the right tools to reach your goals both personally and professionally. As a member of the ASCEND Internship Program you can expect: Collaboration - The small team environment at this facility ensures engagement, collaboration, and support. Work with the best of the best: in-house and worldwide experts in tooling, equipment, and software development. Exciting Projects - contribute to production of components used in military helicopters and commercial aircraft. The work that you do matters to the safety of millions of people. You can take pride in the high-quality finished products you have part in contributing to everyday. Housing - We do have limited housing available. Opportunity for advancement - Potential for full-time opportunities after your internship! Award-winning organization - Named Aerospace and Defense Review's Top CNC Machining Service Companies, Recognized for Aviation Week: Professional Development, Valuing the Individual Award, Supplier Excellence Alliance Award for Workforce Development, Business of the Year, and Manufacturing Business of the Year. Above-average pay Work environment - Spend your days in a clean, well lit, climate-controlled facility, utilizing the newest, best equipment and tools on the market. FUN - we have lots of events throughout the summer! Community Engagement - we are focused on being engaged with our community and giving back! We participate as a team in many community service events and make it a priority to make donations to causes and programs involving our team members.

Job Description Duration: Summer 2026 (Flexible start and end dates) Hours: 40 hours per week (depending on availability) Paid Internship About Us: Altom Transport is a premier petrochemical and hazardous materials carrier committed to safety, innovation, and operational excellence. We're looking for a Software Development Intern to help support our operations, billing, and app development initiatives. This is a great opportunity for students or recent graduates looking to gain real-world experience in software development within the transportation and logistics industry. This position operates out of our Hammond terminal. Requirements What You'll Do: Assist in building and optimizing internal applications to support business operations. Work with billing and operations teams to develop tools that streamline processes. Help improve mobile and web applications used by customers and staff. Collaborate with the IT team to troubleshoot, test, and deploy new software solutions. Work on API integrations, database management, and system automation. Participate in meetings with stakeholders to understand business needs. What We're Looking For: Current student or recent graduate in Computer Science, Software Engineering, or a related field. Experience with JavaScript, Python, or other programming languages. Knowledge of database management (SQL, PostgreSQL, or MongoDB). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus. Ability to work independently and in a team environment. Strong problem-solving skills and a passion for technology. Benefits What You'll Gain: Hands-on experience in real-world software development. Exposure to business operations and process automation. Mentorship from experienced IT and operations professionals. A chance to build applications that directly impact the company's success. Interested? Send your resume and a brief cover letter explaining your interest in software development.

#WeAreParamount on a mission to unleash the power of content… you in? We've got the brands, we've got the stars, we've got the power to achieve our mission to entertain the planet - now all we're missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture. College students-kickstart your career at the heart of culture and conversation with entertainment's most iconic brands! Our Summer Internship Program is a paid, immersive 10-week experience designed to help you explore career paths while bringing your passions and fresh perspectives to work. This well-rounded program not only offers hands-on learning but also serves as a pipeline for future opportunities. Exciting perks tailored just for you! * Speaker series with industry experts * Unique networking opportunities & social events * Complimentary Paramount+ subscription during your internship * Workshops on crafting your resume, nailing interviews and career strategy * 1:1 mentorship, volunteer opportunities, on-the-job learning and so much more! TV Programming handles day-to-day scheduling of content on our networks; this includes short and long term planning of linear and multi-platform events, stunts and/or marathons. Aside from linear, the programming strategy team plans and schedules content on all platforms where our content can be found: apps, online, Video-On-Demand (VOD), Paramount +, etc. In addition, they handle the relationships with production companies that provide original and acquired content and ensure all content is delivered and ready for air. Eligibility: * Internships are available to students who will be Seniors or Master's students in the fall of 2026. If you are a graduating Senior, please check our website for full-time job opportunities. * You must be available to intern full-time (5 days a week/36-40 hours a week) for 10 weeks total starting in June. * Interns will be required to work fully on-site for the duration of the program. Note: Paramount does not provide financial relocation support or housing stipends. * Internships are paid at a competitive standard hourly rate (school credit is optional). * Applicants must be currently authorized to work in the United States on a full‑time basis. * Employment eligibility to work with Paramount in the United States is required as the company does not engage in sponsorship for internships. DEADLINE TO APPLY: December 31st, 2025 Paramount (NASDAQ: PARA; PARAA) is a leading global media and entertainment company that creates premium content and experiences for audiences worldwide. Driven by iconic studios, networks and streaming services, its portfolio of consumer brands includes CBS, Showtime Networks, Paramount Pictures, Nickelodeon, MTV, Comedy Central, BET, Paramount+, Pluto TV and Simon & Schuster, among others. The company delivers the largest share of the U.S. television audience and boasts one of the industry's most important and extensive libraries of TV and film titles. In addition to offering innovative streaming services and digital video products, Paramount provides powerful capabilities in production, distribution, and advertising solutions. ADDITIONAL INFORMATION The hourly rate for this position is $20.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. ********************************************* Paramount is an equal opportunity employer (EOE) including disability/vet. At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access ********************************* as a result of your disability. You can request reasonable accommodations by calling ************ or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.