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Sr. Engineer, AI/ML Apps Engineering (AI2525) San Jose, California

SiMa.ai

San Jose, CAFull-time$121–193K/yrPosted 1mo agoStill listed 2w ago

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At a glance

Compensation
$121–193K/yr
Location
San Jose, CA
Schedule
Full-time
Work Authorization
Not specified

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Job overview

SiMa.ai is hiring a Sr. Engineer, AI/ML Apps Engineering (AI2525) San Jose, California. SiMa.ai seeks a senior applications engineer to partner with strategic customers building next‑generation robotics, autonomous systems, industrial automation, drones, and edge AI solutions, serving as the primary technical interface and influencing product roadmap while delivering technical presentations, documentation, and mentorship.

Key focus areas include 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., and Architect and develop reference applications, demonstrations, and solution accelerators for robotics, autonomous systems, industrial automation, and computer vision use cases..

Successful candidates bring 6-8 Years Field Applications Engineering Experience, 6-8 Years Technical Marketing Engineering Experience, and 6-8 Years Related Customer-Facing Technical Roles Experience. Important skills include Python, C++, Artificial Intelligence, Computer Vision, Robotics, and Autonomous Systems. Preferred (not required): Embedded Linux Systems, Heterogeneous Compute Platforms, Semiconductors, and Embedded Computing Platforms.

Skills & qualifications

RequiredNice to have

Skills

PythonC++Artificial IntelligenceComputer VisionRoboticsAutonomous SystemsEmbedded Software ApplicationsPyTorchTensorFlowONNX RuntimeOpenCVModel DeploymentCustomer Proof-of-ConceptsApplication OptimizationTechnical Issue ResolutionCommunicationPresentation SkillsEmbedded Linux SystemsHeterogeneous Compute PlatformsSemiconductorsEmbedded Computing PlatformsAgentic WorkflowsLLM-Based Edge ApplicationsAutonomous NavigationPerception SystemsIndustrial AutomationTechnical TrainingSolving Complex Customer ChallengesCustomer-First MindsetBuilding Trusted Technical RelationshipsSelf-MotivatedProactiveExecution OrientedBalancing Technical Problem-Solving With Business PrioritiesCollaborative ApproachCan-Do AttitudeStrong Team PlayerCuriousCreativeResults OrientedSelf-DrivenHighly Accountable

Qualifications

6-8 Years Field Applications Engineering Experience6-8 Years Technical Marketing Engineering Experience6-8 Years Related Customer-Facing Technical Roles Experience

Full job description

Description

Job Title: Sr. Engineer, AI/ML Apps Engineering

Job Location: San Jose, CA (This position requires a full-time, on-site presence in our San Jose, CA office)

Job ID: AI2525

Job Description:

SiMa.ai is seeking a Senior Applications Engineer to work closely with strategic customers building next-generation robotics, autonomous systems, industrial automation, drones, and edge AI solutions. This is a highly customer-facing technical role that combines application engineering, solution architecture, AI software optimization, and technical leadership.

You will partner with customers throughout their development lifecycle—from initial evaluations and proof-of-concepts through production deployment—helping them successfully build, optimize, and scale AI applications on the SiMa Modalix platform. You'll also serve as the voice of the customer, influencing product roadmap, software features, and developer experience.

The ideal candidate has 6–8 years of experience in Field Applications Engineering, Applications Engineering, Solutions Engineering, Technical Marketing Engineering, or a similar customer-facing technical role supporting AI, embedded systems, robotics, computer vision, or edge computing solutions.

Key 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. Required Qualifications

  • 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.

  • Experience working with embedded Linux systems, heterogeneous compute platforms, or AI accelerators is preferred.

  • 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. Preferred Qualifications

  • 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. What You'll Bring

  • Passion for solving complex customer challenges through innovative technical solutions.

  • Strong customer-first mindset with the ability to build trusted technical relationships.

  • Self-motivated, proactive, and execution oriented.

  • Ability to balance deep technical problem-solving with business priorities.

  • Collaborative approach to working across Engineering, Product Management, Sales, and Marketing. Personal attributes:

Can-do attitude. Strong team player. Curious, creative and good at solving problems. Execution and results oriented. Self-driven, Thinks Big and is highly accountable. Good communication skills.

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.

EEO Employer: SiMa is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

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