Full-Time

Staff System Software Engineer

Embedded AI & Algorithm

Ambarella

Ambarella

501-1,000 employees

Edge AI vision processors for cameras

Compensation Overview

$160k - $183k/yr

+ RSU Grants

Santa Clara, CA, USA

Hybrid

Three days on-site per week.

Category
Software Engineering (1)
Required Skills
Python
Tensorflow
Neural Networks
Keras
Pytorch
C/C++
Computer Vision
Requirements
  • Master or PhD Degree in CS/EE
  • 5 - 8 years of experience with Edge Devices
  • Strong programming skills in Python, C/C++
  • Experience with deep learning and its applications to computer vision.
  • Experience in developing or using deep learning frameworks (e.g., TensorFlow, Kera’s, PyTorch, ONNX, etc.)
  • Experience in optimization of deep learning/ML algorithms (e.g., Retraining, Quantization, Pruning, etc.)
  • Experience in Image Quality Tuning, Image processing algorithm, and Image Processing Pipeline is a plus.
  • Must work in our Santa Clara, CA offices 3 days a week.
Responsibilities
  • Develop ML and computer vision algorithms/systems.
  • Training and optimization of deep learning/ML based computer vision algorithm for edge devices.
  • Validation and performance assessment on large-scale datasets.

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

Simplify Jobs

Simplify's Take

What believers are saying

  • Q3 2026 revenue hit $108.5M, up 31.2% YoY with EPS $0.27 beat.
  • FY2026 revenue reached $390.7M, up 37.2% with 10-15% FY2027 growth.
  • 2nm semi-custom chip launches early FY2028 for IoT expansion.

What critics are saying

  • US limits slash revenue from largest customer Arashi Vision immediately.
  • Texas Instruments AM69A erodes ADAS share within 12-18 months.
  • US-Iran conflict disrupts Asian supply chains in 6-12 months.

What makes Ambarella unique

  • CV72S 5nm SoC delivers 6x performance of CV22S at half size under 3W.
  • 80% revenue from edge AI processors, shipping 42 million units.
  • Supports 370 AI customer projects in automotive and security.

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Your Connections

People at Ambarella who can refer or advise you

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

0%

1 year growth

0%

2 year growth

0%
Yahoo Finance
Apr 12th, 2026
Northland Securities upgrades Ambarella to buy with $101 target after strong Q4 results

Northland Securities has turned incrementally bullish on Ambarella, maintaining a Buy rating with a $101 price target. The semiconductor company posted strong fiscal Q4 2026 results, with revenue growing 20.06% year-over-year to $100.87 million, beating expectations by $700,380. Earnings per share of $0.13 also exceeded forecasts by $0.03. The firm noted that US-Iran conflict is expected to significantly impact the semiconductor industry, whilst AI algorithm demand is shifting from memory to logic. Disrupted supply chains in Asia and reduced liquidity are also anticipated to affect AI infrastructure spending. Ambarella develops low-power system-on-a-chip semiconductors and software for edge artificial intelligence applications.

Yahoo Finance
Mar 28th, 2026
Ambarella shares fall 40% after Jim Cramer advised against buying the robotics chip stock

Ambarella, a semiconductor company providing chips for robots and autonomous vehicles, has seen its shares decline 40% since Jim Cramer recommended against buying the stock in September. The shares are flat over the past year. The company reported third-quarter earnings on 26 November, posting $106.5 million in revenue and $0.27 earnings per share, beating analyst estimates of $104 million and $0.21. However, shares dropped 18.8% that day, with gross margin declining one percentage point to 59.6%. In September, Cramer said the stock "reflects all the good news already", advising against purchase. Earlier volatility included a 4.6% rise on 6 January following the CV7 Edge AI chip announcement, and a 14.9% drop on 27 February after fourth-quarter earnings.

Yahoo Finance
Mar 24th, 2026
Ambarella CFO sells shares worth $406K as stock rises 59% in one year

Ambarella CFO John Alexander Young sold 7,615 ordinary shares worth approximately $406,000, according to an SEC Form 4 filing. The sale was significantly larger than Young's median direct sale of 2,614 shares since March 2025, representing 5.99% of his holdings versus a historical median of 1.87% per transaction. The shares were acquired through option exercises prior to sale, indicating they originated from recently vested awards rather than existing holdings. Following the transaction, Young retains 119,594 directly held shares, representing approximately 0.28% of Ambarella's outstanding shares. The transaction's cadence and structure suggest routine portfolio management tied to option vesting rather than a response to market events. Ambarella develops semiconductor system-on-a-chip solutions for automotive, security, robotics and consumer camera markets.

Yahoo Finance
Mar 20th, 2026
Ambarella maps Edge AI expansion with 2nm chip, 80% revenue from AI solutions

Ambarella has outlined plans to expand its Edge AI business, with 80% of its revenue now derived from Edge AI solutions, a segment that grew 50% last year. The company announced the expansion on 11 March at the Cantor Fitzgerald Global Technology and Industrial Growth Conference. The semiconductor firm has shipped 42 million Edge AI processors and supports 370 AI customer projects in production. Ambarella is introducing indirect sales channels for smaller customers and developing a two-nanometre semi-custom chip expected to generate revenue in early fiscal 2028. The company reported record fiscal 2026 revenue of $390.70 million, up 37.20% year-over-year, with fourth-quarter revenue reaching $100.90 million, a 20.10% increase from the previous year.

MarketsandMarkets
Mar 18th, 2026
Ambarella Recognized as an emerging leader in the System-on-Chip (SoC) market by 360Quadrants.

Ambarella Recognized as an emerging leader in the System-on-Chip (SoC) market by 360Quadrants. MarketsandMarkets(TM) Research Private Ltd., 18 Mar 2026 The System-on-Chip (SoC) market is growing rapidly, driven by rising demand for smartphones, IoT devices, automotive electronics, and AI-enabled products. SoCs integrate multiple components CPU, GPU, memory, and connectivity onto a single chip, enabling smaller, faster, and more energy-efficient devices. Advancements in semiconductor manufacturing and AI acceleration are pushing innovation across consumer and industrial applications. Major players focus on high-performance and low-power designs to support 5G, edge computing, and autonomous systems. Despite strong growth, the market faces challenges from supply chain constraints and high development costs. 360Quadrants, powered by MarketsandMarkets(TM), evaluated several startups in their System-on-Chip Company Evaluation Report, 2025. The evaluation covered over 190 companies, with the top 21 categorized and recognized as quadrant leaders. Factors such as revenue, geographic presence, growth strategies, investments, demand channels, and sales strategies were analyzed to determine each company's position in the quadrant. The main criteria for assessing product footprint included Core Count (Single-core, Dual-core, Quad-core, Hexa-core, Octa-core), Core Architecture (ARM, x86, RISC-V, Others) and Vertical (Consumer Electronics, Automotive, Network Infrastructure, Computing & Data Storage, Healthcare, Industrial, Other Verticals). Ambarella's System-on-Chip (SoC) products focus on delivering high-performance, low-power solutions for advanced video and AI processing at the edge. It has been recognized as a 'Emerging Leaders Company' in the System-on-Chip market space on MarketsandMarkets' 360Quadrants platform. Ambarella designs SoCs for computer vision, deep neural network acceleration, and high-quality image signal processing. These products are widely used in automotive systems, including ADAS and autonomous driving, as well as in security cameras, robotics, and industrial vision. Ambarella emphasizes energy efficiency, real-time processing, and scalability across its product families. Overall, its SoC portfolio is positioned to enable intelligent, reliable, and power-efficient edge AI applications. The company specializes in low-power System-on-Chip (SoC) solutions for edge AI vision, powering devices in security, automotive, IoT, and robotics. Its CVflow(R) architecture integrates advanced computer vision, neural network inference, high-resolution video compression up to 8K, and image/radar processing into efficient chips such as the CV75S for 4K security cameras and the N1 series for generative AI at under 50W. Automotive products support ADAS, L2+ autonomy, in-cabin monitoring, and sensor fusion, while security SoCs enable low-bitrate streaming and analytics for smart cameras. Ambarella's strategic approach can be inferred from the following fundamental pillars: * High-Integration SoC Architecture Ambarella designs highly integrated System-on-Chip solutions that combine video encoding/decoding, image signal processing (ISP), AI acceleration, and CPU cores on a single chip - reducing system complexity and cost for customers. * Edge AI-First Design Philosophy Its SoCs are purpose-built for edge AI workloads, enabling real-time computer vision and inference directly on the device without relying on cloud processing. * Power-Efficient Performance A core pillar of Ambarella's SoC strategy is maximizing performance per watt, which is critical for automotive cameras, smart security devices, drones, and industrial vision systems. * Advanced Video Processing Leadership Ambarella leverages deep expertise in video compression and processing, ensuring high-quality video capture and analytics even under challenging lighting and motion conditions. * Automotive-Grade Scalability The company designs scalable SoC platforms that can be adapted across multiple cameras and ADAS configurations, supporting long automotive product lifecycles and functional safety requirements. * Software-Centric SoC Enablement Ambarella complements its hardware with robust SDKs, AI toolchains, and long-term software support, allowing customers to rapidly deploy and customize solutions. * Focus on High-Value Edge Markets Rather than mass consumer electronics, Ambarella aligns its SoC roadmap with high-growth, high-margin markets such as automotive, intelligent security, and industrial automation. Final Thoughts Ambarella's System-on-Chip strategy reflects a deliberate focus on high integration, edge AI capability, and power-efficient performance. By combining advanced video processing, AI acceleration, and image signal processing into a single architecture, Ambarella reduces system complexity while enabling real-time intelligence at the edge. Its SoCs are designed to scale across automotive, security, and industrial applications, supporting long product lifecycles and evolving workloads. A strong emphasis on software tools and developer enablement further strengthens customer adoption and speeds time-to-market. Rather than competing in commoditized consumer electronics, Ambarella aligns its SoC roadmap with high-value, vision-driven markets. This disciplined approach positions the company as a specialist in intelligent perception rather than a general-purpose chip provider. About MarketsandMarkets(TM) Recognized as one of America's Best Management Consulting Firms by Forbes in their recent report, MarketsandMarkets(TM) is a blue ocean alternative in growth consulting and program management. It leverages a man-machine offering to drive substantial growth for progressive organizations in the B2B space. With the broadest perspective on emerging technologies, MarketsandMarkets(TM) excels at co-creating exceptional growth for clients worldwide. Today, 80% of Fortune 2000 companies rely on MarketsandMarkets(TM), and 90 of the top 100 companies in each sector trust it to accelerate revenue growth. With a global clientele of over 13,000 organizations, MarketsandMarkets(TM) helps businesses thrive in a disruptive ecosystem. The B2B economy is witnessing the emergence of USD 25 trillion in new revenue streams that are replacing existing ones within this decade. MarketsandMarkets(TM) works with clients on growth programs, helping them monetize this USD 25 trillion opportunity through its service lines - TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing. Built on the 'GIVE Growth' principle, MarketsandMarkets(TM) collaborates with various Forbes Global 2000 B2B companies to ensure they remain future-ready. The company's insights and strategies are driven by industry experts, advanced AI, and its proprietary Market Intelligence Cloud, KnowledgeStore(TM), which integrates research and offers ecosystem-wide visibility into revenue shifts. Ms. Sipti Banga, 630 Dundee Road, Suite 430 Northbrook, IL 60062 USA: +1-888-600-6441 80% of the Forbes Global 2000 B2B companies rely on MarketsandMarkets to identify growth opportunities in emerging technologies and use cases that will have a positive revenue impact.