S

SiMa.ai

No-code edge ML platform with MLSoC

Principal Engineer - Physical Design

Full-TimeUpdated
No salary listed
Expert
Bachelor's, Master's
Bengaluru, Karnataka, India
In PersonFull-time, on-site presence in the Bangalore office is required.
Hardware EngineeringSilicon & ASIC Design

About the job

Requirements
  • A Bachelor of Engineering/Bachelor of Technology or Master of Engineering/Master of Technology degree and at least 15 years of experience on high-complexity SoC designs, including at least one SoC at 7 nm or lower.
  • Demonstrate knowledge and implementation strategies for creating an IO ring in accordance with design specifications.
  • Have deep knowledge of ESD, latch-up, and other foundry requirements, as well as placement strategies.
  • Have hierarchical design implementation knowledge, including partitions, HMs, and tiles pushed down to each core or tile.
  • Understand feed-through planning and implementation.
  • Understand PG creation and push-down methodologies.
  • Understand analog components and their placement requirements according to design specifications.
  • Demonstrate RDL knowledge and experience working with packaging for SoC floorplan design.
  • Conduct physical verification clean-up on floorplans and ensure self-derivation in all sign-offs, including Physical Verification, ESD, and foundry/analog requirements.
  • Have working knowledge of place-and-route implementation, physical verification, and static timing analysis.
  • Have experience with SoC RTL-to-GDSII implementation, including top-level clocking strategy and implementation.
  • Own P&R flow, including scripting and flow deployment for SoCs and blocks.
Responsibilities
  • Perform hands-on SoC/full-chip floorplanning, integration, and place-and-route, along with P&R flow development.
  • Establish die integration plans that optimize for package and board constraints.
  • Perform bump planning and die file generation, and close the loop with the package team on signal and power bump placement restrictions.
  • Create physical databases for IP or SoCs and collaborate with architects to optimize IP placement for latency, die area, and aspect ratio.
  • Collaborate with design teams on clocking and dataflow to deliver physical block-level floorplans for APR.
  • Derive specifications and collaterals for IP blocks to execute floorplanning and automatic place-and-route at subsequent hierarchies.
  • Coordinate with the power delivery team on trade-offs for metal allocation between signal and power.
  • Maximize die-per-reticle and good-die-per-wafer, and select technology to maximize metal-layer usage.
  • Integrate all dies in a package and complete relevant checks before tape-out.
  • Supervise, lead, and mentor junior team members.
Desired Qualifications
  • Have in-depth knowledge of Physical Verification tools such as Synopsys ICV and Calibre Physical Verification Tools.
  • Know package physical-verification checks, IO/bump physical-verification clean-up, and physical-verification rules such as antenna, density, DFM, DFY, and DPT at technology nodes of 7 nm or less.
  • Have led physical-verification activities on SoC designs, with expertise in DRC, LVS, DFM, HV checks, and clean-up.
  • Have expertise in running physical-verification checks on flat or hierarchical SoC designs with multiple power domains.

About the company

SiMa.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

Series C

Total Funding

$495M

Headquarters

San Jose, California

Founded

2018

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Simplify's Take

What believers are saying

  • Oct. 2026 workshops in Burlington, Austin, and Bloomington deepen developer adoption.
  • SiMa.ai says revenue quadrupled from 2024 to 2025 and momentum continued in 2026.
  • Customer list includes Bosch, Emerson, Synopsys, Micron, Intrinsic, and TRUMPF SE.

What critics are saying

  • Nvidia Jetson Thor already anchors humanoids; SiMa.ai must displace entrenched design wins by 2028.
  • Gen 3 hardware slips to H1 2028, leaving years for competitors to widen benchmarks.
  • If Palette Neat or Modalix miss production economics, SiMa.ai becomes a niche prototyping vendor.

What makes SiMa.ai unique

  • Sep. 2026 Series C: $500 million raised, $1.45 billion valuation, signaling investor conviction.
  • Modalix is in production now, with Palette Neat and pin-compatible SiMa SoM.
  • SiMa.ai targets robots, drones, and ADAS with sub-10W to 60W edge inference.

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Benefits

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Growth & Insights and Company News

6 month growth

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2 year growth

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Business Wire
Oct 5th, 2026
SiMa.ai and Wobot.ai partner to deliver edge-based reasoning video analytics for Physical AI

SiMa.ai and Wobot.ai have partnered to deliver reasoning-based video analytics for Physical AI applications. Wobot.ai's AI-powered video intelligence solution is now available on SiMa.ai's Modalix MLSoC PCIe Card and System-on-Module. The partnership addresses challenges organizations face in converting video data into actionable insights. By processing video on-premises at the edge, the solution reduces delays, costs and privacy risks associated with cloud-based analysis whilst helping meet data-privacy requirements in Europe, Japan and Korea. Wobot.ai's analytics, deployed across quick-service restaurants, retail, hospitality and manufacturing sectors, will run on SiMa.ai's Physical AI platform. The platform combines SiMa.ai's Modalix MLSoC hardware with Palette Neat, described as the industry's first agentic AI software environment for Physical AI. The solution will be demonstrated at VISION 2026 in Stuttgart, Germany, 6-8 October.

Edge AI and Vision Alliance
Sep 30th, 2026
Upcoming SiMa.ai Palette Neat Hands-on Workshops on physical AI.

Upcoming SiMa.ai Palette Neat Hands-on Workshops on physical AI. On October 13, 21 and 28, 2026, SiMa.ai will present in-person "Palette Neat Hands-on Workshops" in Burlington, Massachusetts; Austin, Texas; and Bloomington, Minnesota, respectively. Each half-day workshop runs from 9:00 am to 1:00 pm and focuses on developing real-time physical AI applications using Palette Neat and the Modalix system-on-module (SoM). Based on the event registration pages, participants will work with SiMa.ai engineers in guided labs to learn how to build, migrate and deploy applications, while exploring ways to accelerate development for their own use cases. Attendees will also receive a 15% discount on the Modalix DevKit. Workshop Dates and Locations * October 13, 2026 - Burlington, Massachusetts: 9:00 am-1:00 pm. Details and registration. * October 21, 2026 - Austin, Texas: 9:00 am-1:00 pm. Details and registration. * October 28, 2026 - Bloomington, Minnesota: 9:00 am-1:00 pm. Details and registration. Seating is limited. To register, please visit the event page for your preferred location. 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

Aura-V
Sep 30th, 2026
SiMa.ai secures $150 million Series C, valued at $1.45 billion.

SiMa.ai secures $150 million Series C, valued at $1.45 billion. GTM & Outbound Investigative Reporter - 2026-09-30 - 1 min SiMa.ai announced a $150 million Series C round led by Fidelity Management & Research Company and Amplify, valuing the San Jose startup at $1.45 billion ventureburn.com. The oversubscribed round also attracted J.P. Morgan, AllianceBernstein, Baron Capital and the State of Michigan, bringing total capital raised to $500 million. The cash will be poured into aggressive research and development, with the company targeting a 1,000 dense TOPS AI chip by 2028. SiMa.ai's proprietary Palette Neat software and purpose-built silicon aim to replace power-hungry GPUs in autonomous cars, drones and robots, cutting deployment times from months to days. By securing partnerships with Bosch, Synopsys and Micron, SiMa.ai is moving beyond prototype to commercial scale, challenging NVIDIA's dominance in cloud training by offering low-power, on-device inference. Analysts project 145 million physical AI devices shipped by 2035, a market SiMa.ai hopes to capture with its edge-optimized chips. Topics: #MarTech #News Aura-V Engineering Advisory Interested in implementing this technology inside your company? Its studio designs custom agent meshes, data pipelines, and outbound GTM systems for forward-looking enterprises.

Hoodline
Sep 29th, 2026
San Jose chipmaker SiMa.ai hits $1.45 billion valuation on $150M round.

San Jose chipmaker SiMa.ai hits $1.45 billion valuation on $150M round. Published on September 29, 2026 333 W. San Carlos St. - SiMa.ai Company Location Google Street View A San Jose semiconductor company that builds chips letting robots and drones think for themselves just landed a $150 million cash infusion, and with it, a valuation of $1.45 billion. SiMa.ai, which makes hardware and software for what it calls Physical AI, announced the Series C financing, bringing its total capital raised to $500 million. The company plans to pour the money into scaling its software platform and developing a new generation of chips aimed at humanoid robots, drones and cars. The round was co-led by Fidelity Management & Research Company and Amplify, according to a press release from SiMa.ai. Four new institutional investors joined the round: AllianceBernstein, Baron Capital, J.P. Morgan and the State of Michigan. As citybiz reported, the fresh capital is meant to support both product development and commercial expansion for the eight-year-old company. SiMa.ai was founded in 2018 by Krishna Rangasayee, who previously served as chief operating officer at chipmaker Groq, per TechCrunch. The company builds what it describes as a full-stack computing platform, pairing purpose-built silicon with software that lets AI workloads run directly on physical devices rather than relying on a distant data center. TechCrunch describes the pitch simply: chips and software that let robots, drones, cameras and other devices run AI directly on the device itself. A bet on the $50 trillion physical world. Rangasayee has framed the opportunity in sweeping terms, saying that Physical AI in humanoids, automotive and drones is the gateway to a $50 trillion market that has remained largely untouched by modern innovation. SiMa.ai is concentrating its $500 million in funding on computing infrastructure meant to serve exactly that kind of physical-world machine. The company's platform is designed around the power, latency and deployment constraints unique to edge environments, where devices can't always lean on cloud servers for split-second decisions. That framing puts SiMa.ai squarely in competition with entrenched players. According to SiliconANGLE, SiMa.ai is positioning itself as a lower-power alternative to Nvidia's CUDA-based hardware and software stack. Nvidia's high-end Jetson AGX Thor modules already hit 2,000 FP4 TOPS of compute, with the smaller Jetson T2000 and T3000 modules delivering roughly 400 and 865 TOPS respectively, the outlet reports, giving a sense of the benchmark SiMa.ai is chasing. Next-Generation chips targeted for 2028. SiMa.ai plans to develop a new generation of Physical AI hardware targeting 1,000 dense TOPS of computing performance, with that hardware portfolio slated to arrive in the first half of 2028. The planned lineup will include machine-learning intellectual property, chiplets and systems-on-chip, according to DatacenterDynamics. Customers already working with SiMa.ai's current products are expected to be able to migrate their applications onto that future hardware architecture without starting over. The expansion push extends the company's reach into medium- and high-end drones, humanoid robotics, automotive advanced driver assistance systems and AI-powered vehicle cockpits, alongside existing work in industrial automation, aerospace and defense, smart vision and healthcare applications. SiMa.ai's customer and partner network already spans companies including Bosch, Micron, Emerson, Synopsys, Kontron, TRUMPF, Intrinsic, AVerMedia, STIGA, L&T Technology Services, Ark Electronics and Virya Autonomous Technologies. Palette Neat aims to speed up development. Much of the new funding is earmarked for scaling Palette Neat, the agentic software environment SiMa.ai launched in June that's built for moving AI applications onto physical systems. The company describes Palette Neat as shortening that process from months down to days or even hours. SiMa.ai says it plans to expand the software environment further as part of its broader roadmap. The company points to strong financial momentum behind the raise. SiMa.ai has said its revenue growth quadrupled year over year between 2024 and 2025, and that it has continued to see upward revenue momentum through 2026. Scott Darling, president and managing director of Dell Technologies Capital, said SiMa.ai's platform delivers the software agility and Physical AI-optimized compute needed to scale computer vision and autonomous capabilities. Alongside Fidelity and Amplify, the Series C also drew participation from Alter Venture Partners, Dell Technologies Capital, Maverick Capital, +ND Capital, Point72 and StepStone Group. SiMa.ai points to broader industry research from Counterpoint Research projecting cumulative global shipments of Physical AI devices to reach 145 million units by 2035, a figure the company cites as evidence of the market it's chasing. Part of a broader chip-funding wave. SiMa.ai isn't alone in drawing big money for physical-world AI chips. Just two weeks earlier, Dutch AI chip startup Euclyd raised a $230 million round co-led by Samsung, Somerset Capital Partners, the Scaleup Europe Fund and Innovation Industries, according to CNBC. Euclyd is aiming to roll out its own physical chip systems in 2028 and serve thousands of enterprise customers by 2030, targeting revenue both from selling hardware and rack systems and from licensing its intellectual property, per the same report. SiMa.ai's own funding history includes some conflicting detail about its prior raise. TechCrunch reports the company was previously valued at $960 million after an $85 million Series B in July 2025, while SiMa.ai's own August 2025 announcement described that $85 million round as bringing its total capital raised to $355 million at the time. Either way, the company's valuation has climbed sharply since then, positioning SiMa.ai as one of the more closely watched names in the crowded race to put artificial intelligence directly inside the machines that move through the physical world.

Analytics India Magazine
Sep 29th, 2026
SiMa.ai becomes a unicorn after raising $150 mn to scale Physical AI.

SiMa.ai becomes a unicorn after raising $150 mn to scale Physical AI. The Series C round values the company at $1.45 billion as it expands into robotics, automotive and drones. SEPTEMBER 29, 2026, 10:48 AM Physical AI company SiMa.ai has raised $150 million in Series C funding to scale its AI platform across robotics, automotive and drones. The funding brings SiMa.ai's total capital raised to $500 million and its valuation to $1.45 billion, making it a unicorn. The funding round was co-led by Fidelity Management & Research Company and Amplify. Alter Venture Partners, Dell Technologies Capital and StepStone Group also participated, with AllianceBernstein, Baron Capital and JP Morgan joining as new investors. SiMa.ai will use the funds to scale its software platform and develop new Physical AI hardware. The company also plans to scale Palette Neat, its agentic software environment for Physical AI. It will also fund its next generation of purpose-built silicon. "Physical AI in humanoids, automotive, and drones is the gateway to a $50 trillion market," Founder and CEO Krishna Rangasayee said. The company expects the new hardware to deliver up to 1,000 TOPS of compute. The company has scheduled these products for the first half of 2028. The planned hardware will include machine learning IP, chiplets and systems-on-chip. SiMa.ai will target medium and high-end drones, humanoid robotics and automotive applications. It will also target advanced driver assistance systems and AI-powered cockpits. Existing customers will be able to migrate their applications to the new architectures. SiMa.ai said its commercial growth also supported the latest funding round. The company quadrupled year-over-year revenue growth between 2024 and 2025. It also said revenue momentum remains strong in 2026. SiMa.ai currently serves more than 150 customers across automotive, drones and robotics. Its customers include Bosch, Emerson, Intrinsic, Kontron, L&T Technology Services, Mistral, STIGA, Synopsys, and Virya Autonomous Technologies. Rangasayee said the company has built a full-stack platform instead of adapting cloud offerings. Counterpoint Research projects cumulative shipments of 145 million Physical AI devices by 2035. SiMa.ai said this shift will move AI from software applications into physical consumer and industrial systems. SiMa.ai was founded in 2018 to develop software-centric silicon for physical-world applications. Its platform combines the Modalix MLSoC with Palette Neat for Physical AI development. The company says this approach can reduce application development timelines from months to days or hours. Its board includes semiconductor and technology executives such as former Xilinx CEO Moshe Gavrielov and Intel CEO Lip-Bu Tan. Your reaction Discussion. No comments yet - be the first to share your view.