Design Director
As an Automotive and Robotics SoC Architect, you will define scalable, top-down system architectures that unify CPU and AI technologies for next-generation automotive applications. This role involves shaping the architectural direction of the automotive and robotics portfolio to ensure products meet the industry's high standards for performance, safety, reliability, and security. The position requires strong technical leadership, systems thinking, and cross-functional collaboration to deliver world-class automotive solutions.
Backend Software Engineer - Engine Team (Voice Agent)
The Backend Software Engineer on the Engine Team (Voice Agent) at Deepgram will lead the design and implementation of the Voice Agent product, including designing and implementing secure, robust, and scalable services for speech processing. Responsibilities include building integrations to support telephony providers, RAG systems, and diverse deployment scenarios; engineering services for testability and observability within a complex chain of AI models; improving core inference services in networking, speech processing, model orchestration, and observability; developing integrations with in-house, third-party, and open-source AI models for perception and conversational dynamics; debugging complex system issues involving networking, scheduling, and highly concurrent workloads; rapidly customizing backend services to support customer needs; and partnering with Product to design and implement new services, features, and products end to end.
Expert in Residence
Define real-world AEC task specifications for AI agents such as drawing reviews, code compliance, RFIs, submittals, spec review, QA/QC, and coordination. Create and label gold-standard datasets from real project artifacts including drawings, specs, RFIs, and submittals. Design evaluation rubrics for agent outputs considering severity, discipline, correctness, and usefulness. Co-design default workflows that are shipped to customers. Pressure-test agents against real-world project scenarios and common failure modes. Partner closely with product, ML, and engineering teams to translate domain practice into scalable AI systems.
Freelance Automotive Engineering & Python Expert - AI Trainer
Design graduate- and industry-level automotive engineering problems grounded in real practice; evaluate AI-generated solutions for correctness, assumptions, and engineering logic; validate analytical or numerical results using Python (NumPy, SciPy, Pandas); improve AI reasoning to align with first principles and accepted engineering standards; apply structured scoring criteria to assess multi-step problem solving.
Freelance Automotive Engineering & Python Expert - AI Trainer
Contributors may design graduate- and industry-level automotive engineering problems grounded in real practice; evaluate AI-generated solutions for correctness, assumptions, and engineering logic; validate analytical or numerical results using Python (NumPy, SciPy, Pandas); improve AI reasoning to align with first principles and accepted engineering standards; and apply structured scoring criteria to assess multi-step problem solving.
Freelance Automotive Engineering & Python Expert - AI Trainer
Design graduate- and industry-level automotive engineering problems grounded in real practice; evaluate AI-generated solutions for correctness, assumptions, and engineering logic; validate analytical or numerical results using Python (NumPy, SciPy, Pandas); improve AI reasoning to align with first principles and accepted engineering standards; apply structured scoring criteria to assess multi-step problem solving.
Freelance Automotive Engineering & Python Expert - AI Trainer
Contributors design graduate- and industry-level automotive engineering problems grounded in real practice, evaluate AI-generated solutions for correctness, assumptions, and engineering logic, validate analytical or numerical results using Python (NumPy, SciPy, Pandas), improve AI reasoning to align with first principles and accepted engineering standards, and apply structured scoring criteria to assess multi-step problem solving.
Freelance Automotive Engineering & Python Expert - AI Trainer
Contributors may design graduate- and industry-level automotive engineering problems grounded in real practice; evaluate AI-generated solutions for correctness, assumptions, and engineering logic; validate analytical or numerical results using Python (NumPy, SciPy, Pandas); improve AI reasoning to align with first principles and accepted engineering standards; apply structured scoring criteria to assess multi-step problem solving.
Senior Software Engineer (Fullstack)
Lead the deployment, performance, and reliability of AI agents operating in live, high-stakes healthcare environments. Architect and scale full-stack systems integrating with EHRs, legacy healthcare platforms, and real-time voice infrastructure. Drive technical strategy for customer-facing solutions, collaborating with product and engineering to translate client needs into scalable architecture. Mentor engineers and set standards for code quality, testing, security, and HIPAA-compliant development. Shape product roadmap by identifying systemic challenges in customer workflows and proposing high-leverage technical solutions.
Senior Backend Engineer
Design, build, and own the core backend systems, including services, data models, and business logic powering Clarion’s AI agents and healthcare workflows. Build infrastructure for multi-step, asynchronous workflows with conditional logic, retries, and failure handling. Own integrations with EHRs and legacy healthcare platforms via APIs and RPA. Create internal abstractions and tooling for deploying and customizing AI assistants for new customers. Implement and maintain backend authentication, authorization, and HIPAA-compliant architecture for enterprise healthcare.
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