A

Ambarella

Edge AI vision processors for cameras

VLSI Physical Design / APR Engineer

Full-TimeUpdated on 10/15/2026
No salary listed
Junior, Mid, Senior
Master's
Hsinchu, Hsinchu City, Taiwan
In Person
Hardware EngineeringSilicon & ASIC Design

About the job

Requirements
  • A minimum Master's degree in EE/CE/CS or a related field is required.
  • At least 2 years of experience in the VLSI field is required for designer positions; the posting also references 7 years for manager positions.
  • Experience with tapeout on multi-million-gate-count system-on-chip designs is required.
  • Proficiency with at least one Cadence, Synopsys, or Mentor electronic design automation tool is required.
  • Experience in design methodology and flow deployment or refinement is required.
  • Problem-solving skills are required.
  • Good communication skills, team spirit, initiative, innovation, and fast learning are required.
Responsibilities
  • Derive full-chip and block-level physical design from netlist to tape-out, from netlist to GDSII.
  • Perform floorplanning, power planning, placement, clock tree synthesis, routing, and layout verification.
  • Work with front-end design, design-for-test, and package teams to ensure design closure.
  • Sign off on signal integrity, power integrity, reliability, and manufacturability, including static timing analysis, IR drop analysis, electromigration analysis, and physical verification (DRC/LVS/DFM).
  • Analyze, optimize, and resolve congestion, timing, power integrity, and signal integrity issues.
  • Create and maintain physical design automation Tcl scripts and develop flows for design implementation.
  • Interface with electronic design automation tool vendors and foundries to ensure design compliance and manufacturability.
Desired Qualifications
  • Experience with design at 10, 7, 5, or 3 nanometers is a plus.
  • Familiarity with Perl and Tcl scripting is a plus.
  • Proficiency in speaking and writing English is a plus.

About the company

Ambarella develops AI vision processors for edge devices to extract meaningful insights from high-resolution video. Its chips and software run locally on cameras and embedded systems, enabling real-time analytics for applications such as ADAS, smart mirrors, drive recorders, security cameras, and industrial robotics, without sending data to the cloud. Revenue comes from licensing its AI vision processors and related software to manufacturers who integrate the tech into their products. The company differentiates itself by focusing on on-device, low-latency processing across automotive, security, consumer IoT, and industrial robotics markets, and by expanding capabilities through acquisitions like Oculii to add radar perception AI algorithms. Ambarella’s goal is to empower real-time, local decision-making in cameras and sensors, enabling safer, more capable edge devices across multiple industries.

Company Size

501-1,000

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

2004

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Simplify's Take

What believers are saying

  • September 15, 2026 X7 sampling opens fresh designs across robotics, security, and industrial systems.
  • Q2 fiscal 2027 revenue rose 13.2% to $108.1 million, with automotive hitting a record.
  • Ambarella’s expanded $22.9 billion fiscal 2032 SAM supports a longer growth runway.

What critics are saying

  • Q2 fiscal 2027 gross margin fell to 59.3%, showing scale is not rescuing profitability.
  • Macnica and Capgemini could take two to three years before producing meaningful revenue.
  • NVIDIA, Qualcomm, and startups attack the same edge-inference market, threatening Ambarella’s standalone X7 adoption.

What makes Ambarella unique

  • Ambarella’s CVflow now spans 50 million shipped AI SoCs and the new X7 accelerator.
  • September 2026 partnerships with Macnica and Capgemini extend Ambarella beyond chip sales.
  • Its low-power edge focus targets 2-to-5-watt deployments where NVIDIA GPUs waste power.

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Benefits

401(k) Retirement Plan

Remote Work Options

Hybrid Work Options

Wellness Program

Mental Health Support

Conference Attendance Budget

Professional Development Budget

Stock Options

Company Equity

Phone/Internet Stipend

Home Office Stipend

Family Planning Benefits

Fertility Treatment Support

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

0%

2 year growth

0%
MarketBeat
Sep 28th, 2026
Ambarella (NASDAQ:AMBA) director sells 250 shares of stock.

Ambarella (NASDAQ:AMBA) director sells 250 shares of stock. September 28, 2026 Key points. * Ambarella director Christopher Paisley sold 250 shares at an average price of $70.76, totaling $17,690, under a pre-arranged Rule 10b5-1 trading plan. He retained 43,930 shares after the sale. * Ambarella shares fell 5.5% to $68.68, with the company valued at approximately $3.03 billion. The stock has traded between $48.30 and $96.69 over the past year. * The company slightly exceeded quarterly expectations, reporting $0.18 in earnings per share and $108.12 million in revenue, up 13.2% year over year. Analysts hold a consensus "Hold" rating with an average price target of $89.56, while institutional investors own 82.09% of the stock. * MarketBeat previews top five stocks to own in October. Ambarella, Inc. (NASDAQ:AMBA - Get Free Report) Director Christopher Paisley sold 250 shares of the business's stock in a transaction that occurred on Friday, September 25th. The shares were sold at an average price of $70.76, for a total value of $17,690.00. Following the completion of the sale, the director directly owned 43,930 shares in the company, valued at approximately $3,108,486.80. The trade was a 0.57% decrease in their position. The sale was disclosed in a document filed with the Securities & Exchange Commission, which can be accessed through this link. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan. Ambarella stock down 5.5%. NASDAQ AMBA traded down $4.00 during trading on Monday, hitting $68.68. The stock had a trading volume of 1,213,071 shares, compared to its average volume of 1,351,847. The company has a market capitalization of $3.03 billion, a PE ratio of -53.24 and a beta of 2.09. The firm has a 50 day moving average price of $71.98 and a 200 day moving average price of $68.63. Ambarella, Inc. has a twelve month low of $48.30 and a twelve month high of $96.69. Ambarella (NASDAQ:AMBA - Get Free Report) last posted its quarterly earnings data on Thursday, September 3rd. The semiconductor company reported $0.18 earnings per share for the quarter, topping analysts' consensus estimates of $0.17 by $0.01. Ambarella had a negative return on equity of 10.03% and a negative net margin of 13.48%.The business had revenue of $108.12 million for the quarter, compared to analyst estimates of $107.76 million. During the same quarter in the prior year, the company earned $0.15 earnings per share. The company's revenue was up 13.2% on a year-over-year basis. On average, sell-side analysts anticipate that Ambarella, Inc. will post -1.12 earnings per share for the current year. Analyst ratings changes. AMBA has been the topic of a number of research analyst reports. Northland Securities set a $101.00 target price on Ambarella in a research report on Wednesday, June 17th. Craig Hallum downgraded Ambarella from a "buy" rating to a "hold" rating and set a $70.00 price target on the stock. in a research note on Friday, September 4th. Rosenblatt Securities reaffirmed a "buy" rating and set a $120.00 price target on shares of Ambarella in a research report on Wednesday, September 16th. Roth Capital reduced their price objective on Ambarella from $90.00 to $65.00 and set a "neutral" rating for the company in a research note on Friday, September 4th. Finally, Needham & Company LLC reissued a "buy" rating on shares of Ambarella in a report on Friday, September 4th. Five analysts have rated the stock with a Buy rating, six have issued a Hold rating and one has issued a Sell rating to the company's stock. According to MarketBeat, the company currently has a consensus rating of "Hold" and an average target price of $89.56. Discover more Market Cap Calculator Market Data Access Stock Market News Institutional trading of Ambarella. A number of hedge funds have recently added to or reduced their stakes in AMBA. Jericho Capital Asset Management L.P. increased its holdings in shares of Ambarella by 30.8% in the fourth quarter. Jericho Capital Asset Management L.P. now owns 1,587,081 shares of the semiconductor company's stock valued at $112,429,000 after purchasing an additional 373,734 shares during the period. The Manufacturers Life Insurance Company lifted its holdings in shares of Ambarella by 49.5% during the first quarter. The Manufacturers Life Insurance Company now owns 1,586,082 shares of the semiconductor company's stock worth $81,644,000 after purchasing an additional 524,937 shares during the period. Geode Capital Management LLC grew its position in Ambarella by 3.6% in the 4th quarter. Geode Capital Management LLC now owns 1,020,527 shares of the semiconductor company's stock valued at $72,305,000 after buying an additional 35,510 shares during the last quarter. Dimensional Fund Advisors LP grew its position in Ambarella by 28.1% in the 1st quarter. Dimensional Fund Advisors LP now owns 638,587 shares of the semiconductor company's stock valued at $32,866,000 after buying an additional 139,928 shares during the last quarter. Finally, Legal & General Group Plc increased its stake in Ambarella by 18.4% in the 4th quarter. Legal & General Group Plc now owns 614,017 shares of the semiconductor company's stock valued at $43,497,000 after buying an additional 95,218 shares during the period. 82.09% of the stock is owned by institutional investors and hedge funds. Ambarella company profile. Ambarella, Inc is a fabless semiconductor company that develops low-power system-on-chip (SoC) solutions for video processing and artificial intelligence at the edge. Its technology is designed to help devices capture, process, analyze and transmit high-quality video while reducing the need to send data to cloud-based systems. The company's product portfolio includes its CVflow family of AI vision processors, video processors and related software. These solutions support computer vision and machine learning applications in security cameras, automotive systems, advanced driver-assistance systems, robotics, industrial equipment and consumer devices. Founded in 2004 and headquartered in Santa Clara, California, Ambarella serves customers and markets globally through its semiconductor products and technology partnerships. This instant news alert was generated by narrative science technology and financial data from MarketBeat in order to provide readers with the fastest reporting and unbiased coverage. Please send any questions or comments about this story to [email protected]. Before you consider Ambarella, you'll want to hear this. MarketBeat keeps track of Wall Street's top-rated and best performing research analysts and the stocks they recommend to their clients on a daily basis. MarketBeat has identified the five stocks that top analysts are quietly whispering to their clients to buy now before the broader market catches on... and Ambarella wasn't on the list. While Ambarella currently has a Hold rating among analysts, top-rated analysts believe these five stocks are better buys. The AI wave will soon hit public markets with Anthropic and OpenAI set to go public later this year. However, you don't have to wait to invest. This report shows seven AI stocks that you can buy today while the big model providers get ready to go public. Continue following MarketBeat

Edge AI and Vision Alliance
Sep 17th, 2026
Ambarella launches X7, its first standalone AI accelerator, to add physical AI to any host processor.

Ambarella launches X7, its first standalone AI accelerator, to add physical AI to any host processor. September 15, 2026 - Santa Clara, CA New edge AI accelerator brings Ambarella's third-generation CVflow(R) engine to Arm and x86 host systems Leading OEMs in several key verticals are currently creating designs with X7 SANTA CLARA, Calif., Sept. 15, 2026 - Ambarella, Inc. (NASDAQ: AMBA), an edge AI semiconductor company, today announced the X7 edge AI accelerator, its first dedicated CVflow(R) AI accelerator chip. X7 serves as an AI co-processor for Arm and x86 host processors, adding or expanding AI capabilities in a system without a redesign of the underlying platform. Existing installations of cameras, gateways or industrial controllers often have limited AI capabilities, or none at all, but may have years of operating life remaining. Owners and operators of these older deployments are now requesting AI features that were unavailable when the hardware was built. Millions of systems working in the physical world fall into this category. X7 is intended for OEMs and system builders responsible for that existing installed base, and for teams validating new AI features before committing resources toward a next-generation redesign. For physical AI, a category describing machines that perceive, reason and act in the physical world, X7 allows these machines to gain intelligence over their lifetimes. "Many of our customers' systems in the field were designed before the AI workloads their end users now expect were possible," said Fermi Wang, President and CEO of Ambarella. "X7 brings the same third-generation CVflow engine that runs in more than 50 million of our AI SoCs to platforms our customers have already deployed at scale. Our integrated SoCs remain the strongest choice when a team is designing the entire system around AI, while X7 extends the same engine to every other scenario, whether the platform is already in the field or still being prototyped." Power, thermal limits and system cost A camera or an inspection system that once ran a single detection model now runs several simultaneously, often combining conventional computer vision, vision-language models and a natural-language interface. Whether AI features like these can successfully operate in an embedded product depends on inflexible factors such as power, thermal headroom, latency and system cost. In current customer designs, X7 operates within a power envelope between 2 and 5 watts, allowing the accelerator to run within a platform's existing constraints, maintain the enclosure size, and avoid unnecessary increases to the current bill of materials. X7 supports CNNs, vision transformers, multimodal transformers and hybrid networks using the same CVflow computer vision and deep learning processor Ambarella integrates into its SoCs. How X7 integrates into a host system X7 is a host-agnostic accelerator, connecting to the host over a single lane of PCIe Gen 3 or over USB 3.2 and appearing to the system as a standard PCIe device. The host can also be one of Ambarella's own SoCs, so a customer shipping an Ambarella-based product today has a path to improved AI performance for a given workload without a board redesign. Software, tools and model support X7 is supported by the Cooper(TM) Developer Platform, the same environment that serves every Ambarella AI SoC, including the compiler, quantization and profiling tools, the C++ and Python runtime APIs, and the scheduling and memory management that multi-model pipelines require. Models from the Cooper Model Garden in the Ambarella Developer Zone are designed to run on the X7 accelerator as well, with the same documentation, sample code and engineering support Ambarella provides to its SoC customers. Because X7 shares the CVflow architecture with the overall Ambarella SoC portfolio, a model or perception pipeline built for one of the company's SoCs is designed to carry forward to X7 without requiring a software rewrite, following the same path used when a product line moves to a next-generation integrated SoC. The CVflow architecture is now in its third generation. Ambarella has been building neural processing into its silicon since 2015, and its AI processors number more than 50 million operating in the field today. XCalibur reference design XCalibur is Ambarella's reference design and development platform for X7. A standard 2280 M.2 card with LPDDR5 memory and PCIe throughput above 840 MB/s, XCalibur can process several video streams and AI models simultaneously. Ambarella intends to make the complete XCalibur design files available to customers, enabling an OEM or ODM to move from evaluation to a production module on the same design. Markets, channels and availability Target applications include retail and physical security, industrial inspection and manufacturing, mobile robots and drones, intelligent transportation and critical infrastructure, and enterprise edge systems such as kiosks, point-of-sale terminals, gateways and on-premise AI appliances. X7 also opens markets for new designs built around a host processor from another supplier, as well as designs built on an Ambarella SoC that require additional AI performance. The X7 product is not specific to cameras and serves a wide variety of digital and physical data modalities, which makes it suitable for edge-infrastructure inference systems and for endpoints such as robots. Ambarella is bringing X7 to market through the company's direct sales channels as well as the indirect channels established via its relationships with Capgemini and Macnica announced on September 3, 2026. Capgemini works with large enterprises on complex deployments, while Macnica covers small and midsized customers, independent software vendors, OEMs, ODMs and systems integrators across the Americas and EMEA. X7 is sampling now, and XCalibur evaluation kits are available to qualified customers. Ambarella will discuss X7 in further detail at the AI Infrastructure Summit, September 15-17 at the Santa Clara Convention Center. About Ambarella With an installed base of more than 50 million AI SoC units, Ambarella's products are utilized in a wide variety of physical edge AI applications, spanning edge endpoint and edge infrastructure use cases including physical security, vehicle safety, telematics, autonomy, portable video, aerial drones, and other emerging robotic applications. Building on this footprint, Ambarella offers a full-stack edge AI platform, from highly optimized silicon and programmable software to AI agentic frameworks that coordinate perception, decision-making and control across devices. Ambarella's low-power systems-on-chip (SoCs) integrate proprietary and highly efficient perception and deep learning neural network AI accelerators, enabling electronic systems to become more productive with partial or complete levels of machine autonomy. For more information, please visit www.ambarella.com. Media Contact Jonathan Miller [email protected] 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

GlobeNewswire
Sep 15th, 2026
Ambarella and Ultralytics collaborate to bring Ultralytics YOLO models to cvflow-powered edge devices.

Ambarella and Ultralytics collaborate to bring Ultralytics YOLO models to cvflow-powered edge devices. The partnership is designed to give developers and product teams a more efficient path from vision model development to deployment on low-power edge AI silicon. September 15, 2026 09:00 ET | Source: Ambarella SANTA CLARA, Calif. and LONDON, Sept. 15, 2026 (GLOBE NEWSWIRE) - Ambarella, Inc. (NASDAQ: AMBA), an edge AI semiconductor company, and Ultralytics, a vision AI company known for the open-source Ultralytics YOLO model family, today announced a collaboration to support the deployment of Ultralytics YOLO models on Ambarella CVflow(R)-powered edge devices. The collaboration brings together Ultralytics' real-time computer vision models and Ambarella's low-power AI processing technology. The two teams are working to give developers a familiar starting point on silicon built for the power and thermal limitations under which edge products operate. When detection, segmentation, and tracking run locally on the device, systems can respond with lower latency, place less demand on network bandwidth, and reduce their dependence on cloud processing. For products that operate in the physical world, those characteristics shape how quickly a machine responds to what it sees, and how dependably it responds when connectivity is limited. The integration is designed to help developers and product teams build and deploy vision applications more efficiently across areas such as smart cameras, robotics, automotive, and industrial systems. "By bringing Ultralytics YOLO to Ambarella's CVflow platform, we're making it easier for developers and product teams to build efficient, real-time vision applications directly at the edge," said Glenn Jocher, Founder and CEO of Ultralytics. "This collaboration combines Ultralytics' accessible computer vision models with Ambarella's low-power AI processing, helping move vision AI from development to deployment more efficiently." On the Ambarella side, the work centers on the Cooper(TM) Developer Platform and the Ambarella Developer Zone ("DevZone"), which the company launched at CES 2026. The DevZone brings optimized models, agentic blueprints, developer kits, documentation, and technical resources into a single accessible environment. A common CVflow architecture and a shared software environment serve Ambarella's entire edge AI SoC portfolio, so perception software and development workflows can carry forward as a product line scales up in performance or moves to a lower cost point. "The edge AI markets we serve are evolving quickly, and our partner ecosystem needs a platform that meets developers in the frameworks and model families they already use," said Fermi Wang, President and CEO of Ambarella. "Ultralytics YOLO is among the most widely adopted model families in computer vision, and supporting it on our CVflow platform broadens the set of teams that can build on Ambarella silicon." Ultralytics YOLO models support object detection, instance segmentation, image classification, pose estimation, and oriented bounding box detection within a single model family, with a range of model sizes that let teams balance accuracy against the compute and memory budget a given product can carry. About Ambarella With an installed base of more than 50 million AI SoC units, Ambarella's products are utilized in a wide variety of physical edge AI applications, spanning edge endpoint and edge infrastructure use cases including physical security, vehicle safety, telematics, autonomy, portable video, aerial drones, and other emerging robotic applications. Building on this footprint, Ambarella offers a full-stack edge AI platform, from highly optimized silicon and programmable software to AI agentic frameworks that coordinate perception, decision-making, and control across devices. Ambarella's low-power systems-on-chip (SoCs) integrate proprietary and highly efficient perception and deep learning neural network AI accelerators, enabling electronic systems to become more productive with partial or complete levels of machine autonomy. For more information, please visit www.ambarella.com. About Ultralytics Ultralytics is the leading force in vision AI, best known for its Ultralytics YOLO (You Only Look Once) models and Ultralytics Platform, the ultimate end-to-end computer vision platform where users can annotate, train, and deploy vision AI solutions in one place. With over 140k GitHub stars, 330 million PiP downloads, and 3.6 billion model usages, Ultralytics YOLO has become the most widely recognized object detection model globally. Ultralytics empowers users with easy-to-use, cutting-edge AI technology. Our mission is to simplify and democratize the use of AI, making it accessible and impactful across industries ranging from manufacturing to healthcare and more. Media Contact Jonathan Miller [email protected]

Yahoo Finance
Sep 9th, 2026
Ambarella beats Q2 estimates with $108M revenue but shares fall on NXP buyout uncertainty

Ambarella reported fiscal Q2 revenue of $108.1 million, up 13.2% year over year, and adjusted earnings of $0.18 per share versus $0.17 expected. Despite beating estimates, shares fell sharply, extending a 5.6% regular-session decline. The weakness follows a report that NXP Semiconductors was in talks to acquire the edge-AI vision chip supplier, though the talks may not result in a deal. The acquisition report had lifted Ambarella about 19% on 31 July. Management guided fiscal Q3 revenue to $115 million to $124 million, indicating continued growth. Short interest stood at 4.07 million shares, about 9.72% of float, as of 14 August. Thirty-three hedge funds held Ambarella at 30 June, down from 35 at 31 March.

Insider Monkey
Sep 4th, 2026
Ambarella (AMBA) grew 2Q revenue 13.2% and signed 7-year channel agreements. Can edge-ai scale reverse margin compression?

Ambarella (AMBA) grew 2Q revenue 13.2% and signed 7-year channel agreements. Can edge-ai scale reverse margin compression? Published September 4, 2026 at 7:15 pm EDT Ambarella, Inc. (NASDAQ:AMBA) reported fiscal second-quarter 2027 revenue of $108.1 million, up 13.2% from $95.5 million a year earlier. Management said edge-AI revenue reached a record, supported by sequential growth across automotive and Internet of Things markets and strong growth from the 5-nanometer CV75 and CV72 systems-on-chip. Profitability presented a more complicated picture. GAAP gross margin declined to 57.7% from 58.9%, while company-defined non-GAAP gross margin, which excludes stock-based compensation and acquisition-related costs, fell to 59.3% from 60.5%. Company-defined non-GAAP net income, which excludes stock-based compensation, acquisition-related costs, and the $9.0 million project-termination credit and adjusts for related tax effects, increased to $8.2 million from $6.4 million. The credit resulted from the release of a deposit liability after a development project was terminated. Ambarella, Inc. also entered seven-year agreements with technical distributor Macnica and engineering and systems-integration firm Capgemini to develop an indirect sales channel. The strategic question is whether broader market access and a growing edge-AI portfolio can produce enough scale to reverse margin compression. Bull case. Third-quarter guidance calls for revenue of $115 million to $124 million, representing continued sequential growth across the range. Company-defined non-GAAP gross margin is expected to be 59.0% to 60.0%, suggesting that the recent decline could begin stabilizing if product mix improves. The agreements expand Ambarella, Inc.'s existing indirect-channel strategy. Macnica adds distribution, technical enablement and ecosystem-development capabilities across the Americas and EMEA. Capgemini can support global engineering, systems integration and enterprise deployments across smart infrastructure, retail and logistics, industrial automation, healthcare and automotive. Ambarella, Inc. also introduced the X7, its first stand-alone AI accelerator. Combined with an installed base exceeding 50 million AI system-on-chip units, the broader product portfolio gives Ambarella, Inc. multiple routes to benefit from edge-AI adoption. Liquidity provides room to fund that expansion, with cash, cash equivalents and marketable debt securities totaling $272.3 million at quarter-end. Bear case. Revenue growth has not yet translated into gross-margin expansion. Both reported gross-margin measures declined by 1.2 percentage points year over year, and the upper end of third-quarter non-GAAP gross-margin guidance remains below the prior-year second-quarter result. GAAP operations also remain loss-making. Ambarella, Inc. recorded an $8.1 million GAAP operating loss and a $6.7 million GAAP net loss. The $9.0 million project-termination credit reduced reported research and development expense, accounting for a meaningful portion of the year-over-year GAAP improvement. Stock-based compensation totaled $22.7 million, substantially exceeding non-GAAP net income. The seven-year terms demonstrate commitment, but the release did not disclose guaranteed revenue, design wins, or production volumes. Partner-generated opportunities must still pass through customer evaluation, product development, and deployment before contributing meaningful semiconductor revenue. Hedge fund sentiment. The filings available so far reflect positions held before Ambarella, Inc. reported its fiscal 2027 second-quarter results and seven-year channel agreements. Insider Monkey's database showed 33 hedge funds holding Ambarella, Inc. at the end of 2Q2026, down from 35 funds three months earlier. Conclusion. Demand momentum is credible, and the distribution strategy expands the opportunity set for Ambarella, Inc... However, edge-AI scale has not yet reversed gross-margin compression or produced GAAP operating profitability. Third-quarter product mix, partner-generated pipeline, design-win conversion, and GAAP research and development expense will show whether revenue growth is becoming a durable operating-leverage story.