Intern Desktop Support jobs at Sony in United States, San Diego

JOB RESPONSIBILITIES

• Provide technical assistance and end user support to staff and customers on hardware and software-related issues, including help desk notes for escalation and resolution.
• Complete PC setup and deployment for new employees and perform timely workstation hardware and software upgrades per company specifications, policies, and procedures.
• Troubleshoot and resolve hardware, connection, and software issues reported to the service desk.
• Monitor and remove viruses, spyware, and other non-authorized software from devices.
• Apply firmware updates as needed.
• Participate in activities related to Change Management, Major Incident Response, and other key processes.
• Work with multiple regional teams in support of Sony operations.
• Support of ITIL V4 processes

Your qualifications and experience should include:

• Student in Computer Science, Information Technology, Engineering, or related fields.

• Experience in Service Management using ITSM tools such as Remedy and IT related functions such as Cloud and Application development, Security, Infrastructure software development or support.
• Experience working with Mac OS X and Windows 10\11, MS Office, and computer software and hardware equipment.
• Strong analytical, troubleshooting and problem-solving skills.
• Experience in troubleshooting hardware, software, network, and remote access problems is desirable.

Key Competencies:

• Strong interpersonal, written, and oral communication skills.
• Able to conduct research into issues and products as required.
• Ability to prioritize and execute tasks in a high-pressure environment.
• Ability to present ideas in a user-friendly language.
• Highly self-motivated and directed.
• Strong customer service orientation.
• Experience working in a team-oriented, collaborative environment.
• Ability to maintain a high level of flexibility and to learn and support new applications.

As an intern, you will gain hands-on experience across various areas of Audio Engineering, such as:

1. Acoustic Measurement and Analysis:

• Assist in setting up and conducting acoustic measurements. Analyze measurement data using tools such as MATLAB, Python, or Excel to support product tuning and validation.

2. Subjective Listening and Product Tuning:

• Participate in critical listening sessions to evaluate andcompare products.

• Contribute subjective feedback to guide tuning adjustments.

• Support product tuning through collaboration with acoustic and DSP engineers, assisting in implementing mechanical and/or electrical modifications.

3. Wireless Connectivity and Streaming Evaluation

• Conduct functional testing of wireless audio products (Bluetooth, Wi-Fi) for connectivity reliability and streaming audio quality.

• Troubleshoot and document issues related to latency, dropout, codec compatibility, and multi-device pairing.

• Compare performance across a variety of consumer devices (phones, tablets, laptops, etc.)

4. Prototyping and R&D Support

• Support R&D projects by designing and testing experimental audio prototypes.

• Document results and prepare findings for team discussion and presentation.

5. Technical Documentation and Reporting

• Record and summarize test procedures, findings, and recommendations in internal reports.

• Create clear and concise technical presentations for sharing insights with cross-functional teams.

6. General Support Tasks

• Assist with benchmarking competitor products.

• Support the team with ad hoc tasks that may range from mundane to technically challenging, helping the intern build a broad skill set.

Internship Requirements:

• Currently enrolled in an undergraduate or graduate program studying Mechanical Engineering, Acoustical Engineering, Electrical Engineering, or a related field with relevant coursework

• Experience with sound systems, or at a minimum strong interest in sound systems (Home, Mobile, or Automotive)

• Knowledge of engineering measurement equipment, hardware, and software (electrical, mechanical, or acoustical)

• Ability to work independently and in a team environment

• Strong communication, interpersonal, and presentation skills

• Willingness to take on a variety of tasks ranging from mundane to challenging

• Passion for music and/or musician (preferred)

The ideal internship candidate finds software engineering fun, loves learning new frameworks and languages, and is fastidious about their code. Using and/or contributing to open-source projects is a big plus, as well as experience with unit testing code, continuous integration and test-driven development.

In this role, you will gain hands on experience in software development activities, such as:

• Developing & Maintaining Cloud Services:Build scalable, high-performance APIs and backend services in a cloud environment.

• Automation & Optimization:Create scripts and tools to streamline deployment, testing, and monitoring workflows.

• Containerizing Infrastructure:Design and manage Docker-based solutions for portable, reproducible development and production environments.

• Leveraging ML/AI for Insights:Implement monitoring and analytics pipelines that use machine learning and AI to surface system health and usage trends.

• Building User Interfaces:Design and code intuitive web portals and dashboards for enterprise management applications.

Internship Qualifications:

• Currently enrolled as an undergraduate or graduate student studying Software Engineering or related field with applicable coursework

• Experience building web services and applications with Golang, Rust, NodeJS, MySQL, Vue, React

• Familiarity with Linux and shell languages

• Experience with client-server architecture and web services

• Strong interest in pursuing a design and development career path

• AWS, Docker, and CI/CD experience preferred

JOB RESPONSIBILITIES

• Researching and implementing algorithms that extend the state of the art in computer vision, machine learning, and image processing related to Sony’s digital imaging business

• Clearly documenting experimental processes and findings. Creating code and reports, and delivering to internal team members in a timely fashion

• Collaborating with team members on a regular basis

• Drafting and submitting findings to a technical conference as required

• Must be currently enrolled in a PhD or Master program in a relevant field (CS, CE, EE, Physics, Math)

• Strong understanding of Computer Vision, Machine Learning, and Image Processing

• Good mathematical modeling and probabilistic analysis background

• Previous research work in one of the following areas: Computational Photography, Image or Video Generation, Image Restoration and/or Enhancement, Neural Radiance Fields, 3DGS, Diffusion Models, Vision-Language Models

• Excellent programming skills in Python, and knowledge of machine learning libraries such as PyTorch or Tensorflow

• Strong communication and presentation skills, and a strong research track record

Remote work can be considered.

JOB RESPONSIBILITIES

• Research and evaluate the performance of state-of-the-art computer vision with respect to latest deep learning algorithms.

• Apply software engineering skills to prototype algorithms to identify challenges for our research.

• Learn, collaborate, and network alongside world-class researchers and creators to investigate algorithms; present your findings and contribute to industry leading entertainment technology community.

QUALIFICATIONS

• M.S., Ph.D. candidate, or Post-doc in Computer Science, Electrical Engineering, or a related field.

• Research background in the area of AI/Machine Learning, Computer Vision, specifically image and video object segmentation and video object tracking.

• Strong familiarity with neural network modeling and analysis, formulate optimization flow using PyTorch, TensorFlow or equivalent deep learning framework.

• Strong familiarity with Python and/or modern C++ for rapid algorithm prototyping.

• Strong familiarity with camera geometry and geometric algebra

• Excellent analytical and mathematical skills.

• Knowledge and experiences in transformer models

• Knowledge and experiences in SOTA model fine tuning techniques

• Knowledge and experiences in VFX tools is a plus (Nuke, Silhouette, Adobe photoshop)

The anticipated hourly wage for this position is between $24.00 to $36.00. This range does not include any other compensation components or other benefits that an individual may be eligible for. The actual base wage offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.

About the Role

This role is based out of San Jose, CA.

Responsibilities

• Design, develop and evaluate novel computer vision and deep learning methods and apply them to real-world products.

• Conduct high-level and innovative research using advanced methods to solve practical problems and enable new products, communicate your findings to team members.

• Research topics include synthetic data generation, controllability of generative models, style transfer, image harmonization and deep learning architectures

• Deploy research findings and new models directly onto edge devices, ensuring efficient implementation and optimization for real-world applications.

• Collaborate with cross-functional teams to integrate research outcomes into production environments.

Minimum Requirements

• Currently has, or is in the process of obtaining, a master/PhD degree in computer science or related field

• Demonstrated technical knowledge of machine learning, computer vision and state-of-the-art deep learning architectures

• Strong computer science fundamentals, problem solving skills, and proficiency in programming (Python, C, C++) and machine learning frameworks such as PyTorch

• Hands-on experience with deploying and optimizing machine learning models for edge devices or resource-constrained environments.

• Excellent communication skills, able to collaborate effectively and communicate findings

Preferred Skills

• Publishing record in peer-reviewed venues

• Experience with distributed model training and knowledge of CUDA

• Strong research or prototyping experience in relevant areas such as generative AI, Computer Vision, Machine Learning and Computational Photography

• Experience with hardware-specific neural network optimizations for edge devices, such as GPUs, TPUs, or specialized accelerators

The anticipated hourly wage for this position is between $37to $50. This range does not include any othercompensation components or other benefits that an individual may be eligible for. The actual base wage offereddepends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for theposition, years of relevant experience, specific and unique skills, level of education attained, certifications or other