Full-Time
Senior Principal SoC Architect
SiMa.ai
201-500 employees
No-code edge ML platform with MLSoC
Compensation Overview
$231.1k - $358.2k/yr
San Jose, CA, USA
In Person
Full-time, on-site presence in the San Jose office is required.
Master's, PhD
 Hardware Engineering (2) |
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- A PhD or Master of Science degree in Electrical Engineering or Computer Science with 20+ years of experience developing products or platforms involving hardware, with a focus on optimizing performance and power.
- At least three years of experience architecting and completing tape-outs of significant machine learning engineering products, including complex systems-on-chip and advanced process nodes, from concept to production, involving silicon and software.
- Experience as a significant contributor to successful silicon product delivery involving complex systems-on-chip and advanced process nodes from concept to production.
- Technical expertise in researching, scoping, and solving complex problems in multidisciplinary and cross-functional organizations.
- Experience working closely with silicon engineering and software teams to productize architectural concepts.
- A strong mathematical foundation in machine learning and deep learning.
- Experience co-authoring internal technical presentations, research papers, and disclosures or patents on systems-on-chip-related topics.
- Drive end-to-end systems-on-chip architecture in collaboration with Silicon and Software Engineering.
- Identify architecture requirements for target workloads and the required system partitioning.
- Architect next-generation machine learning systems-on-chip platforms with a cohesive, scalable architecture that balances performance, power, cost, and programmability.
- Work with Silicon Engineering on third-party intellectual property strategy.
- Drive forward-looking architecture for emerging workloads, including generative artificial intelligence, transformers, multimodal models, robotics, and real-time artificial intelligence systems.
- Translate workload insights into concrete hardware and software architectural features.
- Drive hardware/software co-design at system scale and identify critical hardware/software trade-offs across silicon, system software, compilers, and runtime.
- Partner with silicon, firmware, and compiler or toolchain teams to deliver optimized, production-ready solutions.
- Establish a data-driven methodology to analyze workload performance, including generative artificial intelligence, convolutional neural networks, and transformers; identify bottlenecks and define architectural improvements for future silicon generations.
- Collaborate with Software Engineering to define software architecture requirements and drive platform software capabilities such as virtualization, safety islands, isolation, and system orchestration.
- Work hands-on with hardware and software engineering teams to translate architectural vision into implementation and serve as the technical escalation point for complex architectural decisions.
- Articulate platform architecture and technical vision to customers, partners, and internal stakeholders, including through strategic customer engagements and enablement.
- Track industry trends, identify disruptive technologies, and drive strategically beneficial adoption through industry forums, standards bodies, and technical communities.
- Author architectural specifications, whitepapers, and technical analyses that guide engineering teams and communicate technical trade-offs.
- Experience participating in and driving key industry forums.
- Published and presented technical papers at industry forums.
SiMa.ai
ViewSiMa.ai provides a no-code, drag-and-drop environment for building, training, and deploying machine learning models on edge devices. Its platform lets users visually assemble ML solutions without writing code, and runs on its own MLSoC silicon designed for edge computing to reduce latency and speed up inference close to data sources. The product works by combining the no-code development tools with specialized edge-ready hardware, enabling deployment of ML applications such as computer vision on edge devices. SiMa.ai differentiates itself from competitors by pairing a purpose-built MLSoC with an integrated no-code development platform, plus an ecosystem of a developer portal, expert consulting, and a partner program to accelerate AI innovations at the edge. The company aims to broaden access to edge ML, helping individuals and organizations deploy efficient AI at the edge across various industries.
Company Size
201-500
Company Stage
Late Stage VC
Total Funding
$345M
Headquarters
San Jose, California
Founded
2018
Get referred to SiMa.ai
See people who can refer or advise you
Simplify's Take
What believers are saying
- April 8, 2026 Micron invested, adding LPDDR5X support and supply-chain credibility.
- May 26 and June 23, 2026 Emerson and Mistral expanded industrial and drone channels.
- June 2026 launches added PCIe cards, open-source Palette Neat, and Q2 availability.
What critics are saying
- NVIDIA Orin and CUDA still dominate edge AI, squeezing SiMa.ai's design-win conversion.
- Palette Neat's open-source launch invites imitation by AMD, Qualcomm, and startups by 2027.
- If 2026 OEM pilots stall, SiMa.ai remains a capital-intensive chip company with zero-margin exposure.
What makes SiMa.ai unique
- June 16, 2026 Palette Neat uses natural language to deploy Physical AI in days.
- Modalix SoM is pin-compatible with NVIDIA Orin, easing customer migrations without board redesign.
- SiMa.ai partners with Emerson, Micron, Mistral, and Advantech for ecosystem validation.
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Growth & Insights and Company News
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↑ 0%SiMa.ai and Mistral Solutions, a subsidiary of AXISCADES, have announced a strategic partnership to accelerate autonomous drone adoption. The collaboration combines Mistral's embedded systems expertise with SiMa.ai's Physical AI platform to create an industrial-grade reference design for drone manufacturers. The design integrates SiMa.ai's Palette Neat agentic environment and Modalix MLSoC with Mistral's drone hardware expertise. It operates at sub-10W power consumption whilst supporting GPS-denied navigation, obstacle detection and agentic mission planning without cloud dependency. The companies are showcasing the solution at the Drone International Expo in New Delhi from 24–26 June 2026. The reference design will be available to qualified drone OEMs and system integrators in Q3 2026.
SiMa.ai and Mistral Solutions, a subsidiary of AXISCADES, partner to accelerate autonomous drone intelligence. Joint reference design combines Mistral's embedded systems expertise with SiMa.ai's Physical AI platform to deliver the fastest path to autonomous drone deployment. SAN JOSE, Calif. and NEW DELHI, June 23, 2026 /PRNewswire/ - SiMa.ai, a leader in Physical AI, and Mistral Solutions, a leader in embedded systems and drone product engineering, today announced a strategic partnership to accelerate the adoption of autonomous intelligence across the fast-growing drone ecosystem. The companies are exhibiting at this week's Drone International Expo in New Delhi, June 24-26, 2026, Booth D47. At the Drone International Expo, the companies will showcase SiMa.ai's recently launched, industry-first agentic environment, Palette Neat. Co-optimized with its Modalix MLSoC, this environment serves as the foundation for an intelligent multi-sensor drone reference design. By integrating Mistral's deep domain expertise in drone hardware design, the partnership delivers drone OEMs and system integrators the fastest, most validated path to bring autonomous, AI-powered drones to market. The industrial-grade reference design is highly optimized for size, weight, and power (SWaP) constraints, ensuring maximum efficiency and extended flight times for mission-critical edge deployments. It addresses advanced sensor fusion alongside the onboard flight controller to meet the full stack of drone autonomy requirements - from physical AI inference at a sub-10W power envelope to GPS-denied navigation, obstacle detection, and agentic mission planning - all running on-device without cloud dependency. "The drone market is at an inflection point, and winning programs will be built on platforms that combine proven hardware design with best-in-class AI compute," said Durga Peddireddy, vice president, Product Management and Partnerships, SiMa.ai. "Mistral brings unmatched drone design, and together we are giving the ecosystem a complete, validated foundation to build on." "Mistral has a long history of helping customers transform innovative technologies into deployable products across defense, industrial and commercial sectors," said Mr. Karthikeyan Sakthivel, vice president- ESAI, Mistral Solutions. "Partnering with SiMa.ai gives our customers access to a purpose-built, industry-leading physical AI platform that delivers exceptional performance per watt. The combination of SiMa.ai's platform and Mistral's expertise in embedded systems, drones, robotics, and product engineering creates a powerful foundation for delivering intelligent edge solutions across multiple industries." Availability The reference design will be available to qualified drone OEMs and system integrators in Q3 2026. Interested parties contact SiMa.ai. About SiMa.ai SiMa.ai is a leader in Physical AI, delivering a purpose-built, software-centric platform that brings best-in-class performance, power efficiency, and ease of use to Physical AI applications. The company is focused on scaling Physical AI across robotics, automotive, drones, industrial automation, aerospace and defense, smart vision, and healthcare. Learn more at www.sima.ai. About Mistral Solutions Mistral Solutions, a subsidiary of AXISCADES, is a leading embedded systems and product engineering company headquartered in Bangalore, India, with deep expertise in drone design, defence electronics, and industrial systems. Mistral has delivered complex hardware-software solutions for defence, aerospace, and commercial customers across India and globally. www.mistralsolutions.com SOURCE SiMa.ai For further information: SiMa.ai, [email protected]
SiMa.ai has launched Palette Neat, the industry's first agentic development environment for Physical AI, which reduces development timelines from months to days. The open-source platform uses natural language commands and agentic workflows to allow developers to build systems in plain English, eliminating complex low-level programming. Palette Neat pairs with SiMa.ai's production-ready Modalix MLSoC System-on-Module, designed as a pin-compatible replacement for NVIDIA SoM form factors. The combined platform enables developers to preserve approximately 90% of legacy software investments whilst switching hardware platforms. The Modalix SoM runs multiple large language models concurrently alongside vision and sensor models under 10W. The San Jose-based company targets applications across robotics, automotive, drones, industrial automation, aerospace and defence, smart vision and healthcare. Palette Neat is now available as open source on GitHub.
SiMa.ai launches Palette Neat, industry's first agentic environment for Physical AI; slashes development from Months to Days. Palette Neat, alongside the production-ready, pin-compatible Modalix(TM) SoM, dismantles the legacy GPU moat to scale Physical AI. SAN JOSE, Calif. - June 16, 2026 - SiMa.ai, a leader in Physical AI, today launched Palette Neat(TM), the industry's first agentic development environment for Physical AI that collapses complex application timelines from months to days. The open source, purpose-built, integrated development environment combines a Physical AI execution library and agent workflow layer for productivity-focused agentic development. When paired with the full-production Modalix(TM) MLSoC(TM) System-on-Module (SoM) or its new PCIe companion card form factor, the unified platform delivers unmatched performance-per-watt for high-demand Physical AI workloads across robotics, automotive, drones, industrial automation, aerospace and defense, smart vision, and healthcare. "SiMa.ai is an AI software company that builds its own silicon," said Krishna Rangasayee, founder and CEO of SiMa.ai. "Today, we are delivering the industry's first agentic development environment for Physical AI. Together, Palette Neat and our pin-compatible SoM dismantle the incumbent GPU moat, allowing developers to design systems in plain English and develop them in days - and in many cases, hours." Palette Neat uses a natural-language interface and innovative agentic workflow to abstract away low-level compute complexity, eliminating the months of labor traditionally spent on porting and integrating applications to new silicon. Key advantages of Palette Neat include: * A New Development Paradigm: Use AI to deploy Physical AI. Developers use natural language commands to build entire systems, enabling engineering teams to focus strictly on system-level differentiation for both new and legacy applications. * From Months to Days or Hours: The agentic environment autonomously builds and maps applications directly to silicon, shrinking development cycles to a fraction of the timeline. Developers can seamlessly reuse existing application code, preserving approximately 90% of their legacy software investment. * Frictionless Platform Migration: Palette Neat, alongside the pin-compatible SoM and new PCIe companion card, dismantles the incumbent GPU moat to scale Physical AI while reducing cost, time, and engineering risk of switching hardware platforms. Availability and Resources: * Palette Neat Open Source: Access on GitHub. * Palette Neat Documentation: Get started at the Developer Center. * Modalix MLSoC SoM: Read the full hardware specification. * Upcoming Webinar: Register for the June 30 event on "Scaling Physical AI." * CEO Insights: Read "Dismantling the GPU Moat to Scale Physical AI" blog by Founder and CEO, Krishna Rangasayee. About SiMa.ai SiMa.ai is a leader in Physical AI, delivering a purpose-built, software-centric platform that brings best-in-class performance, power efficiency, and ease of use to Physical AI applications. The company is focused on scaling Physical AI across robotics, automotive, drones, industrial automation, aerospace and defense, smart vision, and healthcare. Learn more at www.sima.ai. Here you'll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind. Pages. Topics. Contact. Address. Berkeley Design Technology, Inc. PO Box #4446 Walnut Creek, CA 94596 Phone. Phone: +1 (925) 954-1411
PaXiniTech and SynapX forge strategic partnership. Edited by Taylor From Gasgoo | June 3, 2026 21:23 BJT Gasgoo Munich-PaXiniTech has forged a strategic partnership with SynapX. The two companies will combine their strengths in embodied data, physical AI, and industrial scenarios to collaborate on embodied perception, multimodal data collection, application scenarios, and ecosystem development. Anchored by tactile perception, PaXiniTech has established a comprehensive hardware matrix spanning tactile sensors, dexterous hands, and humanoid robots. Beyond hardware, the firm has developed a full-stack technology ecosystem - covering hardware packaging, data acquisition, and algorithm integration - culminating in OmniVTLA, its inaugural VTLA embodied intelligence model. Image credit: SynapX On the data front, PaXiniTech introduced a "human-centric" system for high-precision, real-world data collection back in 2024, incorporating rare tactile modalities. By mid-2025, the company launched the Tianjin Super EID Factory - billed as the world's largest facility dedicated to embodied intelligence data acquisition. This year, PaXiniTech expanded its footprint with four new "super data collection factories" in Suqian, Wuhan, Zigong, and Ganzhou. Combined with the Tianjin hub, this creates a strategic network covering North, East, Central, Southwest, and South China - the world's largest cluster of embodied intelligence data factories, boasting the broadest range of modalities, highest standards, and strongest coordination. SynapX, founded earlier this year by Du Dalong, brings deep industry pedigree. Du previously founded Gaussian Robotics and was a founding member of Baidu's IDL and the sixth employee at Horizon Robotics. The company's co-founders - Liang Zhujin, Pan Yangjia, and Fan Qingyuan - also hail from Horizon or Gaussian Robotics. SynapX is focused on building infrastructure for physical AI, aiming to establish the underlying platform for operational intelligence. Centered on its SYNTH architecture, the company is developing world foundation models, policy execution models, and a multimodal data system. It has also created a software-hardware integrated infrastructure for dexterous manipulation, with the goal of enabling robots to understand tasks, execute operations, and evolve continuously within the physical world. Beyond PaXiniTech, SynapX has recently partnered with Wuwen Intelligence and Happy e-Worker, among others, to advance the exploration and large-scale application of physical AGI in the real world. Gasgoo not only offers timely news and profound insight about China auto industry, but also help with business connection and expansion for suppliers and purchasers via multiple channels and methods. Buyer service: [email protected] Seller Service: [email protected]