Join Silverspace Inc. as a Senior AI Engineer to accelerate software innovations for next-generation software-defined vehicles. Develop high-quality AI applications, lead efforts to leverage existing AI models, and design and implement reason and act loops. Strong domain expertise in AI, including LLM, Time Series, RAG, and fine-tune large models.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
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Job Description
Job Title: Staff AI Engineer – Build AI for Software-Defined Vehicles
Job Location: Sunnyvale, CA
Job Duration: Permanent
Job Type: Hybrid Role (3 days onsite)
Base Salary: 225,000 to 300,000
Visa Sponsorship: Available (H1B transfers / TN)
Role Summary:
We are seeking a highly motivated Senior AI Engineer to join our team and help us accelerate software innovations for next-generation software-defined vehicles. In this role, you will be responsible for the high-quality implementation of an Agentic Framework to support our AI applications. You will be responsible for writing the production-grade code that allows our AI applications to interact with millions of vehicles in real-time. We need a "builder" who thrives on the technical details of multi-agent orchestration, tool-calling optimization, and LLM security. You will translate architectural designs into executable, high-performance systems, taking full ownership of the development lifecycle from local prototyping to global cloud deployment. This is a hands-on role for an engineer who prioritizes execution, code quality, and system reliability for multi-agent systems, AI technologies, and platforms.
Responsibilities:
- Lead efforts to leverage existing AI models and frameworks to solve complex business challenges.
- Develop agentic orchestration by designing and implementing reason and act loops that allow AI agents to decompose complex goals into actionable sub-tasks.
- Design and implement a versioned prompt registry allowing for model-agnostic routing and A/B testing of system prompts
- Engineer the privacy shield for PII redaction and the hallucination verifier to audit AI-generated actions before execution
- Conduct the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services (AI breadth).
- Strong domain expertise in the AI area, including LLM, Time Series, RAG, fine-tune large models, traditional ML models, etc. (AI depth)
- Stay current with industry trends and advancements in data science and AI technologies. (State-of-the-Art)
- Perform data analysis and offer insights to inform business decisions across multiple domains.
- Adhere to data privacy and security protocols to uphold the confidentiality of sensitive information.
- Collaborate with cross-functional teams to understand requirements and translate them into effective AI and data science solutions.
- Document and communicate technical designs, processes, and best practices to stakeholders using visualizations and presentations.
- Take charge of projects, ensuring timely completion in a dynamic work environment.
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Requirements:
- Master’s or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor's degree required.
- Strong programming skills in languages such as Golang, Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Proven experience building multi-agent systems and frameworks with adaptive orchestration
- Deep understanding of Jailbreak Detection (e.g., LlamaGuard) and PII masking techniques to ensure safe LLM interactions in regulated environments
- In-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platforms.
- Solid experience in data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
- Strong knowledge of software development best practices, version control systems, and agile methodologies.
- Results-driven with a positive can-do attitude and excellent problem-solving skills.
- Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams.
- Experience in the automotive industry is highly desirable.
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Sunnyvale HQ Benefits & Perks Offered:
- Health care plan (Medical, Dental & Vision)
- Flexible and Dependent Care Expense program
- Retirement plan (401k)
- Life Insurance (Basic, Voluntary & AD&D)
- Unlimited paid time off per year, 14+ paid holidays
- Hybrid office work arrangement
- Complimentary lunches, snacks, and beverages during on-site working days
- Wellness benefit allowance
- Phone & Internet reimbursement
- Computer Accessory Allowance
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