Volunteer Robotics Engineer Jobs in California (NOW HIRING)

Solution Identification and Strategy 

• Partner with science, engineering, product, and hardware leaders to identify strategic product needs where robotics, perception, and embodied AI can create measurable customer and business impact. 

• Evaluate academic literature, industry benchmarks, robotics platforms, and commercially viable robot APIs to assess feasibility, technical difficulty, and delivery risks. 

• Break down ambiguous robotics and AI problems into clear research plans, model architectures, data requirements, evaluation criteria, and production milestones. 

• Set science quality standards for applied robotics workstreams, including perception accuracy, latency, robustness, safety, reliability, and operational feedback metrics. 

• Prioritize solutions using the scientific process, including modeling approaches, evaluation techniques, data collection strategies, and risk/reward tradeoffs. 

Applied Research and Model Development 

• Lead the design and execution of research programs and POCs for sensors, multi-sensor fusion, real-time signal processing, and perception systems. 

• Develop and guide approaches for object detection, tracking, activity recognition, scene understanding, and related perception capabilities in real-world environments. 

• Advance multimodal AI systems that combine signals such as camera, depth, lidar, audio, telemetry, proprioception, and task context. 

• Apply reinforcement learning, action-conditioned planning, decision-making, and reasoning methods to enable robot behaviors that are robust, measurable, and product-relevant. 

• Define dataset strategy, data quality criteria, labeling approaches, simulation or synthetic data opportunities, and evaluation protocols for robotics and embodied AI use cases. 

• Guide model training, fine-tuning, optimization, inference design, and compute/latency tradeoffs for real-time or near-real-time deployment scenarios. 

Solution Delivery and Production Integration 

• Lead full-stack execution across experimentation, data pipelines, model development, evaluation, deployment integration, and production monitoring. 

• Partner closely with software engineering, machine learning engineering, hardware teams, and product stakeholders to integrate AI capabilities into robotic systems and services. 

• Evaluate and review high-complexity code, establish best practices for repositories, version control, code review, documentation, testing, and delivery readiness. 

• Define operational metrics and user feedback loops to assess delivered solutions in production and inform future technical strategy. 

• Serve as an escalation point for complex robotics, AI, perception, and systems integration issues, driving root-cause analysis and durable solutions. 

Research Leadership and Influence 

• Demonstrate thought leadership in at least one business-critical area such as robot perception, multimodal systems, sensor fusion, reinforcement learning, or embodied AI. 

• Translate research insights into clear technical recommendations, patents, white papers, design documents, demos, or conference-quality publications where appropriate. 

• Mentor and guide scientists and engineers, raising the bar for applied research rigor, experimentation quality, and production readiness. 

• Establish productive collaborations with internal teams, external research groups, academic partners, or commercial robotics ecosystem partners where relevant. 

Core Competencies 

• Bias for action with a strong hands-on orientation; able to move from ambiguous idea to prototype, evaluation, and production path quickly. 

• Ability to execute full-stack AI workflows spanning data, experimentation, modeling, evaluation, APIs, deployment, and feedback loops. 

• Strong cross-functional collaboration with hardware teams, software engineering, ML engineering, product, operations, and leadership stakeholders. 

• Excellent judgment in balancing scientific rigor, product urgency, systems constraints, safety, reliability, and customer impact. 

• Clear executive-level communication; able to explain complex robotics and AI tradeoffs to technical and non-technical audiences. 

Required Technical Expertise 

• Deep experience in machine learning, artificial intelligence, computer vision, perception, robotics, sensor fusion, real-time signal processing, or a closely related field. 

• Experience with perception capabilities such as object detection, tracking, activity recognition, scene understanding, localization, or state estimation. 

• Experience designing multimodal AI systems that combine heterogeneous data sources and reason over context, actions, and temporal signals. 

• Practical knowledge of reinforcement learning, planning, sequential decision-making, robotics control interfaces, or action-conditioned model behavior. 

• Strong programming capability in applicable languages such as Python and/or C++, and experience with modern ML frameworks and production-oriented software practices. 

• Familiarity with APIs, SDKs, or integration patterns from commercially viable robotics platforms. 

Minimum Qualifications 

• 15 years of experience in data science, machine learning, artificial intelligence, robotics, computer vision, signal processing, statistical modeling, data mining, or a related field; OR 

• Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Physics, Robotics, Electrical Engineering, Mechanical Engineering, or related field and 11 years of relevant experience; OR 

• Master's degree in one of the above or related fields and 9 years of relevant experience; OR 

• Doctorate in one of the above or related fields and 7 years of relevant experience. 

• 7+ years of hands-on experience with Python, C++, PyTorch, and ROS for software development, machine learning, and robotics applications. 

• Demonstrated technical leadership guiding teams and stakeholders toward strategic goals.  

Preferred Qualifications 

• 16 years of experience in data science, machine learning, artificial intelligence, robotics, computer vision, perception, signal processing, or related field; OR equivalent degree-based experience aligned to Oracle IC5 guidelines. 

• 2 years of leadership experience with or without direct reports, including technical direction, mentoring, project planning, or cross-functional execution. 

• 2 years of experience working with operating budgets and/or project financials, where applicable. 

• 5+ years of experience creating technical publications, patents, white papers, peer-reviewed conference or journal articles, or equivalent technical documentation. 

• Demonstrated experience delivering robotics, embodied AI, perception, or multimodal systems from research concept into production or customer-facing environments. 

• Hands-on experience with commercial robot platforms, robot SDKs/APIs, simulation environments, telemetry pipelines, and real-time deployment constraints. 

Success Profile 

• Builds credibility as a senior applied science leader who can bridge research depth with pragmatic product delivery. 

• Operates comfortably across sensors, models, APIs, hardware/software boundaries, and executive decision-making forums. 

• Raises the bar for AI adoption in robotics by creating reusable patterns, evaluation standards, and scalable delivery practices.