SiMa.ai · 1 month ago
Principal Applications Engineer, Physical AI (AI2459)
SiMa.ai is a company specializing in advanced Physical AI System-on-Chip solutions. The Principal Applications Engineer will provide technical leadership for customer success, managing proof-of-concept initiatives and troubleshooting challenges in embedded software and Edge AI workloads.
AI InfrastructureArtificial Intelligence (AI)Embedded SystemsMachine LearningSemiconductorSoftware
Responsibilities
Develop, optimize, and deploy Edge AI applications on embedded AI processors
Build, test, and benchmark AI workloads including computer vision, sensor fusion, anomaly detection, predictive maintenance, object detection, classification and segmentation
Port, quantize, and optimize AI/ML models (CNNs, transformers, audio models, multimodal models, etc.)
Work directly with customers to understand use cases, help integrate SDKs, debug runtime issues, and optimize performance
Lead technical onboarding and PoC activities for customers evaluating or integrating the company’s Edge AI SoCs
Understand customer requirements and provide detailed guidance on system configuration, software integration, and AI pipeline deployment
Deliver technical presentations, demos, and training sessions to support customer adoption
Diagnose and resolve issues related to software integration, firmware behavior, drivers, and system-level interactions
Reproduce customer-reported problems, capture logs and diagnostics, and work closely with internal engineering teams to drive resolution
Develop high-quality documentation, including configuration guides, FAQs, and troubleshooting references
Define scope, milestones, deliverables, and timelines for customer engagements; prepare Statements of Work (SOWs) for services-based programs
Serve as the technical program manager throughout the engagement lifecycle, ensuring timely execution and proactive communication of risks and progress
Coordinate cross-functional resources to ensure customer requirements are met and issues are resolved efficiently
Qualification
Required
Bachelor's or master's degree in electrical engineering, Computer Engineering, Computer Science, or a related discipline
5–10+ years of experience in applications engineering, embedded systems engineering, or solutions engineering within a semiconductor or embedded systems environment
Strong proficiency with embedded software development (e.g., embedded Linux, RTOS environments, firmware, drivers)
Experience with AI/ML model deployment, runtime optimizations, or AI acceleration frameworks
Competency in C/C++ and Python, with the ability to diagnose issues spanning software, firmware, and system layers
Demonstrated experience interfacing with customers in a technical capacity
Excellent verbal and written communication skills
Preferred
Experience with Edge AI architectures, heterogeneous computing, or neural network accelerators
Familiarity with system-level profiling, performance tuning, and optimization for constrained embedded environments
Experience defining, negotiating, or managing Statements of Work for technical projects
Background in technical program or project management
Company
SiMa.ai
SiMa.ai is a developer of machine learning technology to deliver a software-centric platform.
H1B Sponsorship
SiMa.ai has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (5)
2024 (12)
2023 (4)
2022 (1)
2020 (1)
Funding
Current Stage
Growth StageTotal Funding
$355MKey Investors
Maverick CapitalMSD PartnersFidelity
2025-08-01Series C· $85M
2024-04-04Series B· $70M
2023-06-13Series B· $13M
Recent News
Crunchbase News
2025-12-26
Company data provided by crunchbase