Bosch USA

About the Company

The Bosch Group's strategic objective is to create solutions for a connected life. Bosch improves quality of life worldwide with innovative products and services that are "Invented for life" and spark enthusiasm. Podcast: http://bit.ly/beyondbosch Imprint: https://www.bosch.us/corporate-information/ Privacy statement: https://bit.ly/binaprv Terms of use: We strive to provide a friendly space for all social media users. Please note that comments on the BoschUSA page are not necessarily representative of the opinions of BoschUSA, nor do we confirm their accuracy. Therefore, at its discretion, BoschUSA reserves the right to remove any comment that is: - Indecent, obscene, pornographic, threatening, violent, discriminatory, political, religious, racist, abusive, derogatory, misleading, off-topic - Violating the rights of others (especially personal, copyright and performance protection rights) - Any contribution in the form of links, text and/or images that are advertisements of third parties - Actions that adversely affect the proper functioning of BoschUSA channels, as well as documents that contain harmful viruses or Like invites.

Listed Jobs

Company Name

Bosch USA

Job Title

LLM & Agentic AI R&D Intern

Job Description

**Job title** LLM & Agentic AI R&D Intern **Role Summary** Conduct research on Large Language Models and Agentic AI to develop prototypes for AI agents, retrieval‑augmented generation, and knowledge extraction. Summarize findings in high‑impact conference papers or patents and collaborate with cross‑functional teams to integrate research into product‑grade solutions. **Expectations** - Deliver prototype integrations for AI‑enabled applications. - Produce publishable research (conference papers or patents). - Communicate insights clearly to technical and non‑technical stakeholders. **Key Responsibilities** - Collaborate with mentors and team members to embed research methods into prototype systems for AI agents, RAG, engineering assistance, and information extraction. - Design, train, fine‑tune, and prompt LLMs using state‑of‑the‑art NLP/AI libraries. - Develop and evaluate retrieval‑augmented generation pipelines and agentic reasoning modules. - Conduct experiments on multi‑modal foundation models and reinforcement learning where applicable. - Document experimental results and write high‑quality research papers and patent applications. - Participate in regular project meetings, provide progress updates, and iterate on designs based on feedback. **Required Skills** - Research proficiency in natural language processing and machine learning. - Hands‑on experience with training, fine‑tuning, and prompting large language models. - Proficiency in NLP/AI toolkits (e.g., Hugging Face Transformers, PyTorch, TensorFlow). - Ability to prototype scalable, intelligent, and trustworthy AI solutions. - Strong written and verbal communication; collaborative mindset. - Minimum GPA 3.0. **Required Education & Certifications** - Currently enrolled in or pursuing a Ph.D. or Master’s degree in Computer Science, Computer Engineering, or a related field. - Eligibility to submit publications to top NLP/ML venues (ACL, EMNLP, AAAI, NAACL, TACL). - No specific certifications required; advanced coursework in deep learning, NLP, and AI system engineering preferred.

Sunnyvale, United states

On site

Fresher

09-12-2025

Company Name

Bosch USA

Job Title

Artificial Intelligence / Machine Learning: Foundation Models - Intern

Job Description

**Job Title** Artificial Intelligence / Machine Learning: Foundation Models – Intern **Role Summary** Conduct advanced research and engineering on foundation models and data‑centric AI. Translate research into production‑ready solutions for Bosch’s AIoT domains (ADAS, connected vehicles, Industry 4.0, smart manufacturing). Produce high‑impact publications or patents. **Expectations** - Apply research outcomes to solve real‑world problems within Bosch’s platform ecosystem. - Deliver rigorous documentation, publish findings in top ML/vision venues, or prepare patent submissions. - Collaborate across multidisciplinary teams and communicate results effectively. **Key Responsibilities** - Develop and evaluate foundation‑model–based tooling (e.g., SAM, CLIP, LLaVA). - Research spatiotemporal learning and time‑series methods for AIoT applications. - Prototype and integrate models into existing Bosch AI platforms. - Conduct experiments, analyze results, and iterate on models. - Write technical reports, research papers, and patent documents. - Engage with academic and industry partners to disseminate discoveries. **Required Skills** - PhD student/university coursework in Computer Science, Electrical Engineering, or related field. - ≥3 years of research experience in AI, including foundation models or data‑centric AI. - Proven publication record in premier ML/vision conferences (NeurIPS, CVPR, ICLR, ICCV, etc.). - Strong programming in Python; experience with PyTorch and ML frameworks. - Solid background in mathematics and statistics. - Excellent written and verbal communication, teamwork, and problem‑solving skills. - Minimum cumulative GPA 3.0. **Required Education & Certifications** - PhD candidate or PhD in Computer Science, Machine Learning, Electrical Engineering, or equivalent. - Graduate‑level coursework in machine learning, deep learning, computer vision, or related subjects. - No mandatory certifications beyond academic qualifications.

Sunnyvale, United states

On site

Fresher

17-12-2025

Company Name

Bosch USA

Job Title

Software Engineering Intern (8 months/40hrs per week)

Job Description

**Job Title:** Software Engineering Intern **Role Summary:** Eight‑month, full‑time internship (40 hrs/week) within the Calibration Engineering group of Power Solutions. Work with a small team of software engineers on a cutting‑edge platform, covering the full software lifecycle—from design and implementation to testing, deployment, and operations—across embedded systems, cloud services, and applications using Go, Rust, TypeScript, and Python. **Expectations:** - Currently enrolled in a university, pursuing a B.S. or M.S. in Engineering (minimum one semester completed). - Minimum 3.0 cumulative GPA. - At least 1 year of academic or industry experience with programming languages and operating systems. - Ability to work 35‑40 hours per week for the full 8‑month term. - Minimum age of 18 years. - Valid U.S. driver’s license. - Authorized to work indefinitely in the United States (no sponsorship). **Key Responsibilities:** - Design, develop, test, and deploy software features for embedded platforms and cloud infrastructure. - Create automated provisioning and remote job execution systems for embedded devices. - Develop serverless APIs for automated data file generation. - Build frameworks to simulate large numbers of devices for load testing. - Set up and maintain hardware‑in‑the‑loop test benches and integrate them with CI/CD pipelines. - Collaborate with cross‑functional teams and contribute to code reviews and documentation. **Required Skills:** - Proficiency in at least one of the following languages: Go, Rust, TypeScript, Python. - Experience with Linux/Embedded Linux (e.g., Raspberry Pi, Orange Pi). - Familiarity with version control (Git) and open‑source development workflows. - Understanding of CI/CD concepts, unit testing, and rapid development cycles. - Knowledge of machine‑to‑machine (M2M) communication protocols (e.g., MQTT). - Basic experience with API development using gRPC or OpenAPI. - Exposure to databases (relational, time‑series, key‑value) and cloud platforms (AWS preferred). **Required Education & Certifications:** - Pursuing a Bachelor’s or Master’s degree in Engineering (or related field). - Minimum 3.0 GPA. - Valid U.S. driver’s license. - Legal U.S. work authorization (no sponsorship).

Farmington hills, United states

On site

Fresher

11-02-2026

Company Name

Bosch USA

Job Title

Calibration Process Data Science Intern (8 months/40 hours per week)

Job Description

Job title: Calibration Process Data Science Intern Role Summary: 8‑month internship focused on data science for automotive powertrain and calibration processes. The role involves exploring complex datasets, developing and evaluating machine‑learning models, building predictive analytics, and translating insights into actionable recommendations for calibration engineering teams. Expectations: Commit 35–40 hours per week, collaborate with cross‑functional stakeholders, meet project milestones set by an engineering mentor, and deliver clear documentation and presentations. Key Responsibilities - Collect, clean, and analyze large, multi‑source data sets. - Perform statistical analysis and data visualizations to uncover patterns and insights. - Design, train, and evaluate machine‑learning models (regression, classification, clustering) for forecasting, anomaly detection, and quality improvement. - Engineer features and preprocess data for optimal model performance. - Apply dimensionality reduction and association‑rule mining to reveal hidden relationships. - Work with software developers and business analysts to translate model outputs into process optimizations. - Document methodologies, algorithms, and results; prepare technical reports and executive summaries. - Stay current with emerging data‑science techniques and incorporate them into projects. Required Skills - Programming: Python (pandas, scikit‑learn, TensorFlow/PyTorch, etc.) and/or R. - Statistical / ML libraries and experience with model training, validation, and tuning. - Data querying (SQL), data cleaning pipelines, and version control (Git). - Data visualization (Matplotlib, Seaborn, Plotly, Tableau, etc.). - Strong analytical, problem‑solving, and communication skills; ability to present complex findings to non‑technical audiences. - Team collaboration and agile project participation. Required Education & Certifications - Current enrollment in an accredited university, pursuing a Bachelor's or Master's in Engineering (or related discipline), with at least one semester completed. - Minimum 3.0 cumulative GPA. - At least one year of academic or industry experience with software languages and operating systems. - Minimum age 18; U.S. work authorization required.

Farmington hills, United states

On site

Fresher

17-02-2026