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SiMa AI
Actively hiring
Sr. Engineer, AI/ML Apps Engineering (AI2525)
- Workplace
- On-site
- Commitment
- Full-time
- Seniority
- Senior
- Salary
- $120,800 - $193,300/yr
- Posted
Location
San Jose, United States
This role is a customer-facing Senior Applications Engineer at SiMa.ai, working with strategic customers building next-generation robotics, autonomous systems, industrial automation, drones, and edge AI solutions. You will partner with customers throughout their development lifecycle, from initial evaluations to production deployment, helping them build, optimize, and scale AI applications on the SiMa Modalix platform. You will also serve as the voice of the customer, influencing product roadmap and developer experience.
Responsibilities
- Serve as the primary technical interface for customers evaluating and deploying AI applications on the SiMa Modalix platform.
- Lead customer engagements from technical discovery through proof-of-concept, design-in, deployment, and production.
- Architect and develop reference applications, demonstrations, and solution accelerators for robotics, autonomous systems, industrial automation, and computer vision use cases.
- Help customers integrate AI models, perception pipelines, AI agents, and robotics software stacks into their applications.
- Optimize application performance, latency, power efficiency, and overall system performance on SiMa hardware.
- Troubleshoot complex hardware/software integration challenges and provide timely technical resolution.
- Collaborate closely with Product Management and Engineering to communicate customer requirements, identify product gaps, and influence future roadmap decisions.
- Develop technical documentation, application notes, tutorials, training materials, and customer enablement content.
- Deliver technical presentations, workshops, and demonstrations for customers, partners, and industry events.
- Support customer evaluations, benchmark activities, and competitive positioning.
- Mentor junior application engineers and contribute to engineering best practices.
Requirements
- 6–8 years of experience in Field Applications Engineering, Applications Engineering, Solutions Engineering, Technical Marketing Engineering, or related customer-facing technical roles.
- Strong software development experience using Python and C++.
- Experience developing AI, computer vision, robotics, autonomous systems, or embedded software applications.
- Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, ONNX Runtime, OpenCV, or similar.
- Strong understanding of AI inference optimization, model deployment, and edge AI workflows.
- Experience supporting customer proof-of-concepts, application optimization, and technical issue resolution.
- Outstanding communication and presentation skills with the ability to explain complex technical concepts to diverse audiences.
Nice to have
- Experience working with embedded Linux systems, heterogeneous compute platforms, or AI accelerators is preferred.
- Experience supporting semiconductors, AI accelerator, embedded computing, or edge AI platforms.
- Knowledge of AI agents, agentic workflows, multimodal AI systems, or LLM-based edge applications.
- Background in computer vision, autonomous navigation, perception systems, or industrial automation.
- Experience delivering technical training or speaking at customer workshops and conferences.
Benefits
- The annual salary for this position ranges from $120,800 to $193,300. The actual annual salary offered will depend on several factors, including - among others - job-related skills, experience, technical expertise, qualifications, work location, and business needs. The annual salary range for this position is subject to change and may be adjusted in the future.
- In addition to base salary, this role is also eligible for private company equity, and a comprehensive package of employee benefits. Please note that the salary ranges listed for U.S. roles reflect base salary only and do not include equity or other forms of compensation.