Scope 

The Accounting Manager, Singapore will serve as the primary finance and accounting lead for the Company’s Singapore entity. This role is responsible for end-to-end local accounting operations, statutory compliance, payroll, treasury, and tax matters, while supporting public-company requirements and scalable processes. The position partners closely with global finance, local HR, and engineering teams to support rapid headcount growth and evolving business needs.

Responsibilities 

Financial Accounting, Close & Controls

• Maintain complete and accurate books and records for the Singapore entity in NetSuite, in accordance with US GAAP and Singapore statutory requirements.
• Perform monthly, quarterly, and annual close activities, including journal entries, account reconciliations, accruals, and variance analysis.
• Support SOX compliance, including internal control documentation, walkthroughs, and audit evidence requests in coordination with global finance
• Ensure compliance with company accounting policies, approval matrices, and internal control standards.

Procure-to-Pay, Treasury & Assets

• Create and manage purchase orders, ensuring adherence to company policies and approval workflows.
• Review, approve, and process vendor invoices and payments.
• Manage local bank accounts and corporate credit cards, including cash monitoring and reconciliations.
• Own fixed asset accounting, capitalization policies, and depreciation schedules, as well as accounting for local office leases and right-of-use assets.

Payroll & Employee-Related Accounting

• Process local payroll using Workday payroll functionality, ensuring compliance with Singapore labor, CPF, and tax regulations.
• Record payroll, benefits, bonuses, and equity-related accounting entries.
• Partner with local HR to support onboarding, headcount growth, and employee-related financial matters.

Statutory Reporting, Audit & Tax

• Prepare Singapore statutory financial statements, corporate income tax computations, and tax filings.
• Manage the statutory audit, serving as primary liaison with external auditors and advisors.
• Ensure timely and accurate GST and other regulatory filings, as applicable.

Transfer Pricing & Intercompany

• Manage and maintain the local transfer pricing policy in coordination with global tax teams.
• Support annual transfer pricing studies, recommending updates as the Singapore entity scales.
• Monitor intercompany transactions to ensure compliance with arm’s-length standards and documentation requirements.

Process Improvement & Strategic Support

• Drive continuous improvement and scalability of accounting processes, systems, and controls, including NetSuite workflows, approvals, and reporting.
• Partner with engineering and local stakeholders to provide financial and operational support in a rapidly growing environment.
• Monitor and track compliance with EDB/EDBI incentive programs, including reporting obligations.
• Assist with local SGX compliance and reporting requirements and other strategic projects as needed.

Qualifications 

• Bachelor's degree in Accounting, Finance, or related field; CPA, CA, or equivalent preferred.
• 6–10+ years of accounting experience in a multinational, technology, or semiconductor environment.
• Strong knowledge of Singapore statutory reporting, tax, and audit requirements, with exposure to US GAAP and SOX.
• Hands-on experience with NetSuite; Workday payroll experience highly preferred.
• Experience supporting intercompany accounting and transfer pricing.
• Comfortable operating in a high-growth, public-company environment with evolving processes.

Scope

Ambiq is seeking an Edge AI Firmware Engineer to build and optimize the embedded software stack that powers real-time, battery-powered on-device AI. You will develop Ambiq’s AI runtimes, performance-critical operator libraries, and profiling/debug tooling that enable customers to deploy efficient inference on resource-constrained devices.

While the cloud has been the default home for AI, the next frontier is distributing intelligence everywhere—directly onto real-world devices. Edge AI enables real-time responsiveness, stronger privacy, lower bandwidth cost, and reliable operation even without connectivity. This role helps accelerate the shift to on-device intelligence across a rapidly growing ecosystem of health and fitness wearables, smart glasses, industrial IoT, and always-on sensors.

You’ll work closely with platform, silicon, and applied ML teams—and directly with customers—to ensure our software extracts maximum performance and energy efficiency from Ambiq hardware while remaining easy to integrate into production embedded toolchains.

Responsibilities 

• Develop and support Ambiq’s embedded AI runtimes (HeliaRT—our fork/extension of TensorFlow Lite for Microcontrollers—and HeliaAOT) with focus on portability, correctness, performance, and usability.
• Implement and optimize ML operator kernels and embedded libraries for on-chip acceleration (DSP, vector, NPU), including HeliaDSP and HeliaCore components.
• Build and maintain on-device profiling and performance analysis tools, including converting PMU counters into actionable insights.
• Drive improvements in latency, memory footprint, and energy (e.g., joules/inference) through compute/bandwidth and memory-hierarchy analysis.
• Develop benchmark harnesses, microbenchmarks, and regression tests to ensure numerical correctness and prevent performance regressions.
• Enable seamless customer integration across embedded environments and toolchains (bare metal, FreeRTOS, Zephyr).
• Improve memory planning/runtime efficiency and manage upstream/fork health; publish and maintain customer-facing assets (docs, guides, examples, benchmarks).

Qualifications 

• BS in Electrical/Computer Engineering, Computer Science, or related field + 5+ years relevant experience (or equivalent practical experience). MS is a plus, especially in embedded systems, compilers, computer architecture, or ML systems.
• Strong experience designing, developing, and testing embedded software in C/C++.
• Strong debugging discipline with an emphasis on correctness, reproducibility, and performance regression prevention.
• Solid understanding of compute, memory, and bandwidth/cache effects on deterministic latency and energy efficiency in constrained systems.
• Ability to interpret hardware/software documentation (datasheets, reference manuals; schematics a plus).
• Proficiency with Git (or equivalent version control).
• Efficient use of AI-assisted development tools to improve productivity while maintaining engineering rigor.
• Experience with embedded development workflows: Arm toolchains, GDB + J-Link/SEGGER-class probes, and CMake/Make build systems.

Nice to have:

• Python for profiling/analysis tooling, automation, and developer utilities.
• Rust experience.
• Familiarity with TensorFlow Lite for Microcontrollers (or similar embedded inference runtimes).
• Experience optimizing for embedded acceleration targets (e.g., DSP, vector extensions, NPU).
• Familiarity with CMSIS-NN, CMSIS-DSP, and/or Vela (or similar).
• Working knowledge of quantized inference (e.g., int8, per-channel) and embedded debugging implications.
• Packaging/integration (e.g., CMSIS-Pack/CPM.cmake) and/or lab measurement experience (power/debug with basic bench tools).

Must be currently authorized to work in the United States for any employer. We do not sponsor or take over sponsorship of employment visas (now or in the future) for this role.

• The right candidate will be a self-starter who assumes full ownership of DV tasks and delivers high-quality results.
• Develop test plans at block, sub-system, and chip level.
• Execute SoC-based verification at full-chip and module level verification. Focus on Display subsystem (GPU, Display Controller), Radio Subsystem, SoC integration verification. 
• Experience in ARM or RISC-V based micro-controllers.
• Power-aware methodology (CPF/UPF).
• Write C-based lib packages and tests.
• Architect and implement scalable and reusable module test benches using SystemVerilog and UVM.
• Develop comprehensive test cases, stimulus generation, and checkers to achieve high coverage.
• Automate the test environment for randomized testing and score-boarding.
• Utilize advanced debugging techniques to identify and resolve design and verification issues.
• Perform root-cause analysis and work with design teams to fix identified issues.
• Define and track functional and code coverage metrics to ensure thorough verification.
• Ensure that verification quality meets or exceeds industry standards and project requirements.
• Edge-based AI inference is preferred.

• BSEE/MSEE with 10+ years of experience (seniority depends on years of experience) in block, sub-system, and full-chip verification.
• Technologies: Experienced in ARM M/RISC-V (Preferred) SoC Verification, expert in AMBA AXI/AHB/APB, DMA, Flow Control, Serial Devices, Low Power (CPF/UPF) Verification, 3rd party IP integration verification.
• Experience in Display, Audio domains is a plus.
• Languages: Strong in SystemVerilog (UVM), Verilog, C/C++, Python, Perl, or Makefile.
• Should have delivered multiple chips functioning to specification.
• Identify and manage verification deliverables, milestones, and schedules.
• Proactively identify potential verification risks and develop mitigation strategies.
• Collaborate with design, architecture, and software teams to understand and verify design intent.
• Communicate verification progress, issues, and results to stakeholders and management.
• Strong in understanding multiple architectures, integrating 3rd party IPs/VIPs, and working with mixed-signal designs with low-power design and verification challenges.
• Strong understanding/exposure to Design Verification for low-power battery-operated designs is highly desired.
• C-based verification in an SoC environment is required.
• Experience with ARM processor-based designs and low-power design techniques is a plus.

This role will be on-site 5 days a week in NW Austin.

Scope  

This role will be on-site 5 days a week in NW Austin. 

As the Sr Multimedia System Architect at Ambiq, you will drive the architectural definition of various aspects of Ambiq’s low-power SoCs, with a specific focus on multimedia technologies, including graphics, display, video, imaging, and AI. 

This is a critical function at Ambiq that supports the delivery of the world’s lowest-power electronic devices, enabling ubiquitous AI at the edge. This is a cross-functional position working with software and hardware engineering teams, applications engineering, and field teams to ensure alignment to product requirements, logical and physical design constraints, power and performance targets, and overall system architecture. This role will encompass high-level architectural specification, low-level microarchitecture, process-node-dependent analysis, power/performance modeling, and use-case definition. 

Specific Responsibilities 

• Architecture specifications, including flow diagrams/sequences, power/performance models, and pseudocode 
• Customer interaction is needed to ensure alignment on key multimedia features and competitive product positioning  
• Microarchitecture specifications (as applicable) and support to enable software and hardware design 
• Support for use case and test case development 
• Integration specifications to support system interfaces and external power management requirements/interfaces 
• Work with the FPGA team to bring up critical multimedia features 
• Work with software architecture to define multimedia flows, APIs, and hardware abstraction layers 
• Work with the physical design team to ensure robust/optimal implementation 
• Work with the design team to debug issues using RTL and gate-level simulation 

Expectations for a successful candidate are as follows: 

• Work with Ambiq’s Marketing, Advanced Development, architecture, and engineering teams to drive development of new ultra-low power multimedia architectures on Ambiq Micro’s technology and product roadmaps 
• Develop high-level specifications and drive power/performance modeling and analysis 
• Analyze low-power multimedia technology and applications to identify opportunities for extending Ambiq’s low-power leadership 
• Define Ambiq’s multimedia and AI technology roadmap, including external and internal IP assessment, definition, and integration 
• Work with the engineering teams to transition the architecture specification into Ambiq Micro’s products 
• Work with systems, solutions, and software teams to ensure robust interfaces and support key product use cases 
• Support post-silicon analysis and efficient delivery of multimedia functionality to customers for mass production 

Requirements 

The candidate should be comfortable with independent specification, analysis, and development from high-level concepts through design and validation, as well as collaborative development with software and hardware engineering. A deep knowledge of graphics accelerators, graphics processing, display controllers and panel interfaces, image signal processors, video encoding/decoding, image sensors, or neural network accelerators specifically targeting wearable, IoT and mobile systems are critical, along with specific experience delivering low-power architectures to market. A working knowledge of SoC architecture, fabric/interconnect technologies, power management, and advanced process nodes is preferred. The candidate should be comfortable with complete system dataflows and modeling to guide hardware and software analysis and development. 

Specific Experience 

• Minimum of 8 years of graphics, display, video, imaging or neural networks or similar architecture and design experience targeting wearable/IoT and mobile products 
• Experience developing novel multimedia architectures from idea to specification to design to post-silicon validation 
• Working knowledge of low-power modern mobile consumer electronic systems and embedded graphics, imaging or neural network processing required 
• Experience in embedded display technologies and low-power interfaces required 
• Experience in advanced process technologies is highly desirable 
• BS in Electrical Engineering, Computer Engineering or Computer Science (must have) 
• MS or PhD (preferred) 
• Individual contributor role, but some management/team lead experience is nice-to-have 
• Must have experience creating architectural specifications for System-on-Chip or similar complex hardware devices 
• Must communicate well (verbal and written) 

Must be currently authorized to work in the United States for any employer. We do not sponsor or take over sponsorship of employment visas (now or in the future) for this role.

This role will be on-site 5 days a week in NW Austin.

Scope

The Sr Director of System Architecture will be responsible as the lead architect for developing next-generation ultra-low-power, AI-based SoC architectures for future Ambiq products. The candidate will own the development and coordination of new product architectures with the Marketing, Advanced Development, and Engineering teams. This position will report directly to the VP of Architecture. Areas of interest include: low-power embedded microprocessor and microcontroller-based System on Chip (SoC), interconnect technologies, memory technologies and topologies, clocking, power management, as well as preferred familiarity with 2D and 3D graphics accelerators and display controller technologies, video and image processing, and Neural Network processors/accelerators/NPUs. The candidate will have sufficient experience with system-level design, hardware/software partitioning, power, and performance modeling/tradeoffs.

Expectations for a successful candidate are as follows:

• Work with Ambiq’s Marketing, Advanced Development, architecture, and engineering teams to drive development of new ultra-low power AI System on Chip (SoC) architectures on Ambiq Micro’s technology and product roadmaps
• Develop high-level specifications and drive power/performance modeling and analysis
• Analyze low power interconnect, memory and hardware accelerator technologies and applications to identify opportunities for extending Ambiq’s low power leadership
• Support definition of Ambiq’s technology roadmap including external and internal IP assessment, definition, and integration
• Work with the engineering teams to transition architecture specification into Ambiq Micro’s products
• Work with systems, solutions, and software teams to ensure robust interfaces and support key product use cases
• Support post-silicon analysis and efficient delivery of Ambiq products to customers for mass production

Specific Responsibilities

As the Sr Director of System Architecture at Ambiq, you will lead architecture definition of various Ambiq low power AI SoC’s from initial concept to mass production.

This is a critical functional at Ambiq to support delivering the world’s lowest power electronic devices to enable ubiquitous AI at the edge. This is a cross-functional position working with software and hardware engineering teams, applications engineering and field teams to ensure alignment to product requirements, logical and physical design constraints, power and performance targets and overall system architecture. This role will encompass high level architecture specification, low level microarchitecture, process node dependent analysis, power/performance modeling, analysis, and use case definition.

• Architecture specifications including flow diagrams/sequences, power/performance models and pseudocode
• Customer interaction as needed to ensure alignment on key features and competitive product positioning
• Microarchitecture specifications (as applicable) and support to enable software and hardware design
• Support for use case and test case development
• Integration specifications to support system interfaces and external power management requirements/interfaces
• Work with FPGA team to bringup critical SoC features
• Work with software architecture to define flows, APIs and hardware abstraction layers
• Work with physical design team to ensure robust/optimal implementation
• Work with design team to debug issues using RTL and gate level simulation

Education and Experience:

The candidate should be comfortable with independent specification, analysis and development from high level concepts through design and validation as well as collaborative development with software and hardware engineering.  A deep knowledge of embedded systems and microprocessor/microcontroller based AI System on Chip (SoC) specifically targeting wearable, IoT and mobile systems is critical along with specific experience delivering low power architectures to market. A working knowledge of SoC architecture, fabric/interconnect technologies, power management and advanced process nodes is required. Additionally, experience with wireless technologies and SoCs specifically Bluetooth, WiFi, NFC and GPS is preferred. The candidate should be comfortable with full system dataflows and modeling to guide hardware and software analysis and development.

Specific Experience

• Minimum of 15 years of microprocessor/microcontroller based System on Chip or similar architecture and design experience targeting wearable/IoT and mobile products
• Experience developing novel low power architectures from idea to specification to design to post-silicon validation
• Working knowledge of low power modern mobile consumer electronic systems required
• Experience in advanced process node technologies highly desirable
• BS in Electrical Engineering, Computer Engineering or Computer Science (must have)
• MS or PhD (strongly preferred)
• Individual contributor role but strong technical and team leadership experience is desired.
• Must have experience creating architectural specifications for System-on-Chip or similar complex hardware devices
• Must communicate well (verbal and written)

**Must be currently authorized to work in the United States for any employer. We do not sponsor or take over sponsorship of employment visas (now or in the future) for this role.

Scope  

As the Staff Applications Software Engineer, Zephyr at Ambiq, you will drive the development and testing of Ambiq’s Zephyr software offering. This includes porting new Ambiq SoCs to the Zephyr environment and enabling hardware evaluation platforms, staying up-to-date with the latest Zephyr developments and maintaining Ambiq SoC compliance, building new samples and drivers, and driving power optimizations to best showcase our ultra-low power technology. 

This role will work within our Applications Engineering Team and will work closely with the global MCU software team.  

 The successful candidate should be a fast-learning, result-driven, and self-motivated team player with an “always learning” mindset. They should have an inquiring spirit and be comfortable in a lab environment and in executing hands-on debugging for embedded systems.  

 The person in this role will be responsible for leading Ambiq’s Zephyr software development and testing, coordinating with the global team to make improvements and fix customer issues, and representing Ambiq to the Zephyr technical steering committee and community with the help of Ambiq engineers and subject matter experts. 

Responsibilities 

• Lead the development, testing, and maintenance of Ambiq’s Zephyr offering, including sample, driver, and software testcase development, as well as hardware enablement.  

• Take a key role in Ambiq Zephyr repository processes and maintenance, including CI/CD. 

• Manage Ambiq Zephyr issue status tracking, debug, and resolution.  

• Collaborate with internal engineering teams to analyze and debug complex system level issues and develop software solutions. 

• Focus on demonstrating Ambiq’s low-power advantages to the greatest extent possible within the Zephyr ecosystem. 

• Create application notes and software guidelines.  

• Support applications and field engineers, and key customers as needed. 

Qualifications 

• MS in ECE or Computer Science and 6+ years of experience or BS ECE/CS with 8+ years of experience, with at least 3 years focusing on the Zephyr ecosystem; 

• Experience with ARM Cortex-M processors.  

• Deep understanding of Zephyr RTOS required. 

• Experience with developing embedded MCU code in C and assembly language on Arm Cortex-M Processors;   

• Experience working with MCU peripherals including SPI, I2C, UART, and USB. 

• Experience with at least one MCU IDE from ARM, Keil, IAR, Eclipse, Ozone or other; 

• Experience with security, Bluetooth, Matter/Thread, and/or machine learning models within the Zephyr ecosystem is a real plus. 

• Good hands-on experience on lab equipment such as oscilloscopes, logic analyzers etc. for debugging issues;  

• Experience with Jira, Confluence and collaboration tools;  

• Experience with source code control systems (git) required;   

• Understanding of software testing and test automation principles;  

• Excellent problem-solving skills dealing with complex system level issues related to HW/SW debug;  

• Experience with scripting languages required and python experience is specifically desirable;  

• Strong communication and documentation skills. 

Scope  

Ambiq is seeking an experienced Edge AI Applied ML Engineer with deep experience in audio and computer vision. In this role, you will design, train, optimize, and deploy highly efficient on-device AI models—from ultra-small (tens of KB) to larger (hundreds of MB) footprints—targeting resource-constrained, real-time, battery-powered devices.

While the cloud has been the default home for AI, the next frontier is distributing intelligence everywhere—directly onto real-world devices. Edge AI enables real-time responsiveness, stronger privacy, lower bandwidth cost, and reliable operation even without connectivity. This role will help accelerate the shift to on-device intelligence across a rapidly growing ecosystem of health and fitness wearables, smart glasses, industrial IoT, and always-on sensors.

You’ll also help evolve our award-winning open-source AI Development Kits (ADKs): modular tooling that enables developers to mix-and-match datasets, model architectures, tasks, training recipes, and deployment targets. You will bridge cutting-edge research and practical productization by building production-grade demos, reference applications, and customer-facing tooling that accelerates real-world adoption.

Responsibilities 

• Develop and optimize on-device ML models for constrained, real-time, battery-powered products, balancing accuracy with latency, memory, and energy.
• Build and maintain Ambiq’s open-source ADKs for modular datasets, models, tasks, and training recipes.
• Translate cutting-edge research into production-grade demos and reference implementations.
• Apply model efficiency techniques: quantization, compression, pruning, and structured sparsification.
• Serve as a domain expert in audio and vision (data strategy, evaluation, and failure analysis).
• Port and optimize customer models to Ambiq edge runtimes, ensuring correctness, performance, and usability.
• Deliver and promote customer-ready assets: docs, tutorials, examples, benchmarks, plus white papers and conference representation.

Qualifications 

• BS in Computer Science or related field + 5+ years of relevant experience (or equivalent practical experience). MS or PhD in related disciplines (ML, EE, signal processing, computer vision, robotics) is highly desirable.Strong proficiency in Python; working proficiency in C/C++ and/or Rust for performance and runtime integration.
• Domain expertise in audio (KWS, speech enhancement, SLM, TTS) and/or vision (classify/detect/segment/pose/OBB/track), with DSP fundamentals (e.g., FFT).
• Comfortable in Linux development with Docker/dev containers (able to work across Mac/Windows as needed).
• Experience with one or more training frameworks: PyTorch, TensorFlow, JAX, Keras.
• Strong ML engineering fundamentals: data pipelines, augmentation, metrics, experiment reproducibility, and failure analysis.
• Familiarity with edge deployment stacks such as ONNX, LiteRT, ExecuTorch.
• Hands-on with edge optimization: quantization (PTQ/QAT), compression, and (structured) sparsification, plus profiling for latency/memory/energy tradeoffs.
• Efficient use of AI-assisted development tools while maintaining rigor (testing, review, reproducibility).

Must be currently authorized to work in the United States for any employer. We do not sponsor or take over sponsorship of employment visas (now or in the future) for this role.

We’re looking for a Director, MCU Software to lead the development and delivery of our embedded software platform and help shape the future of energy-efficient computing.

The Role

As Director of MCU Software, you will lead the team responsible for the execution, quality, and release of Ambiq’s AmbiqSuite SDK across current and next-generation ARM Cortex-M–based MCU platforms. You’ll play a critical role in ensuring our software platform meets the highest standards of performance, reliability, and usability—enabling customers to bring innovative products to market faster.

This is a high-impact leadership role that blends technical depth with organizational leadership. You’ll work across engineering, product, and customer-facing teams to drive alignment, execution, and continuous improvement in how we build and deliver software.

What You’ll Do

• Lead the development and delivery of Ambiq’s embedded software platform across multiple MCU product lines
• Drive alignment between software execution and silicon program milestones to ensure successful product launches
• Oversee day-to-day engineering operations, ensuring high-quality, predictable software releases
• Champion robust support for embedded RTOS environments, including FreeRTOS and Zephyr
• Establish and evolve engineering best practices, including CI/CD, automated testing, and quality metrics
• Partner cross-functionally with Architecture, Silicon Design, Validation, Applications, and Field teams to resolve dependencies and execution risks
• Serve as a technical escalation point for complex issues and customer-facing challenges
• Build, mentor, and scale a high-performing embedded software team
• Foster a culture of technical excellence, accountability, and continuous improvement

What You Bring

• 15+ years of experience in embedded software development, with 10+ years in leadership roles
• Strong background in MCU or embedded systems, ideally with ARM Cortex-M architecture
• Deep expertise in C/C++ development for real-time, resource-constrained environments
• Experience delivering SDKs, platform software, HAL/BSP, or driver stacks for production systems
• Hands-on knowledge of RTOS environments such as FreeRTOS or Zephyr
• Proven experience working across the silicon lifecycle, including hardware/software integration and system-level debugging
• Familiarity with modern development practices: Agile, CI/CD, automated testing, and defect tracking tools
• Strong cross-functional leadership and communication skills
• Passion for building teams and delivering high-quality software at scale

Additional Requirements

• This role is onsite in Austin, TX, five days per week
• Candidates must be authorized to work in the United States without current or future visa sponsorship

Why Ambiq

• Be part of a company at the forefront of ultra-low power innovation
• Work on technology that enables real-world impact across healthcare, consumer, and industrial markets
• Collaborate with a highly technical, mission-driven team
• Competitive compensation, benefits, and growth opportunities

This role will be on-site 5 days a week in NW Austin.

**Must be currently authorized to work in the United States for any employer. We do not sponsor or take over sponsorship of employment visas (now or in the future) for this role.

This role will be on-site 5 days a week in NW Austin.

Scope  

As a member of the Security team at Ambiq, the Embedded Software Engineer - Security will participate in extending and supporting Ambiq’s Secure Bootrom/Bootloader and SDK for the Apollo SoC  and emulation platforms. This role will work within our global MCU software development team. It will work closely with the architecture team and the local MCU SoC design team, focusing on MCU software development and test activities. A successful candidate should be a fast-learning, result-driven, and self-motivated team player with an “always learning” mindset. They should possess an inquiring spirit and be comfortable working in a lab environment, with the ability to execute hands-on debugging for embedded systems. The candidate will be involved in extending each of these to cover new MCU members of the family as they become available.

Responsibilities 

• Participate in the design, implementation, testing & support of the Secure Bootrom and Secure Bootloader solutions.
• Participate in automated testing of the pre-silicon verification (via FPGA emulations), and post-silicon bring up, verification, and debug, focusing on Secure Bootrom and Bootloader.
• Testing of runtime cryptographic operations utilizing supported hardware accelerators.
• Work closely with the SQA and System Test team to help define and implement test cases for security deliverables to ensure complete coverage. 
• Work with other team members to implement the hardware abstraction layer (HAL) and board support package (BSP) of the SDK.

Qualifications 

• BS/MS (EE, CE, or CS) with embedded projects utilizing both bare metal and RTOS systems/real-time environments. 
• 1 year of work experience or internship working with Embedded Security, cryptography, and secure boot concepts.
• Exposure to cryptographic algorithms and protocols, including Public Key Infrastructure, symmetric encryption algorithms, hashing, etc.
• Understanding of security implications for the embedded systems, and familiarity with IoT security concepts  (TrustZone, CryptoCell, and secure boot)
• Classroom or work experience developing embedded C and ARM assembly language in a project setting with a focus on system initialization and low-level code.
• Strong proficiency in Python
• Experience with at least one MCU IDE from ARM, Keil, IAR, Eclipse, or other
• Excellent problem-solving skills dealing with issues related to HW/SW debug
• Hands-on experience with lab equipment such as oscilloscopes, logic analyzers, etc., for debugging issues.
• Understanding of software testing and test automation principles.

Scope

We are seeking a talented Field Applications Engineer (FAE) to join our team in Singapore. In this role, you will provide technical expertise in Bluetooth Low Energy (BLE) and embedded systems to support customers throughout their product development lifecycle. You will work closely with customers and internal R&D teams to deliver high-quality solutions, troubleshoot complex issues, and drive successful product implementations.

Responsibilities

• Conduct comprehensive Schematic & Layout Reviews to identify design flaws in power delivery networks, signal integrity, and RF/antenna paths.
• Lead the integration of Bluetooth Low Energy (BLE) stacks, including GATT profile development and power consumption optimization.
• Guide customers through RTOS & Driver Integration (e.g., Zephyr, FreeRTOS) and peripheral interfacing (I2C, SPI, UART, MIPI).
• Perform root-cause analysis on complex hardware/software bugs using Oscilloscopes, Logic Analyzers, and BLE Sniffers (e.g., Ellisys, Teledyne LeCroy).
• Analyze system logs and protocol timing to resolve intermittent connectivity or stability issues.
• Support customers through critical hardware validation phases (EVT, DVT, and PVT) to ensure a smooth transition to mass production.
• Collaborate across time zones with offshore R&D teams (e.g., in Taiwan or the US) to resolve high-priority technical bottlenecks.
• Deliver technical training and product demonstrations to customer engineering teams.
• Proactively suggest design optimizations to improve system performance and reduce time-to-market.
• Drive the success of high-impact projects across Singapore, South Asia (including India, Vietnam), and Australia and overseas travel (South Asia and Australia) is required.

Qualifications

• Bachelor’s or Master’s degree in Electrical Engineering (EE), Electronic Engineering, Computer Science, or a related technical field.
• Ability to communicate technical concepts fluently in a professional business environment.
• Proficiency in troubleshooting ARM Cortex-M based MCUs and embedded firmware.
• Proven track record in the semiconductor, IoT, or wearable electronics industries.
• Proven experience with BLE protocols and wireless debugging.

Preferred Qualifications:

• Familiarity with wireless certification processes, including SIG (BQB) certification, FCC/CE/NCC regulatory testing,
• Experience in antenna tuning and performing link budget analysis to optimize range and power consumption.

Scope  

As a Senior Embedded Software Engineer at Ambiq, you will lead the development, integration, and verification of the AmbiqSuite SDK for common IP blocks across Ambiq’s advanced SoC and emulation platforms.

In this role, you will collaborate closely with cross-functional experts throughout the IC development lifecycle, including SoC Architecture, IC Design, Production, Applications, and Customer Enablement teams. Your work will play a key role in enabling customers to successfully develop and deploy products on Ambiq’s latest SoC platforms.

The successful candidate should be a fast learner, results-driven, self-motivated, and collaborative team player with an “always learning” mindset. You should bring strong hands-on experience in low-level embedded C programming and be comfortable working in a lab environment, performing hardware bring-up, debugging, and validation.

This role is responsible for extending the hardware abstraction layer (HAL) and device drivers within the SDK to support new platforms, while continuously improving SDK features, quality, and content. You will also contribute to expanding SDK support for new MCU family members as they are introduced.

Responsibilities 

• Lead the design, development, and maintenance of HAL interfaces for MCU common blocks, including data movement engines, clock management, power management, and MCU control.
• Design, develop, and maintain software examples and test cases for MCU common blocks.
• Play a key role in pre-silicon verification on FPGA platforms and in post-silicon bring-up, verification, and debug, focusing on MCU cores and common blocks.
• Develop and maintain real-time operating system ports for Ambiq MCUs.
• Collaborate with and support design verification (DV) and validation engineers, field engineers, and key customers as needed.

Qualifications 

The Senior Embedded Software Engineer should have strong experience in the design, development, and use of HAL and BSP libraries for MCU-based products. Experience with embedded applications for wearable devices is preferred. The ideal candidate will also have extensive hands-on experience developing for and debugging on Arm-based platforms.

• MS in Electrical and Computer Engineering or Computer Science, or other related field with 3-5 years of relevant experience, or Bachelor’s degree in the same fields with 4-6 years of relevant experience.
• Deep understanding of Arm Cortex-M architectures.
• Proven experience developing embedded MCU software in C and assembly for Arm Cortex-M processors.
• Strong understanding of embedded RTOS concepts and development; FreeRTOS experience preferred.
• Experience with at least one MCU IDE for ARM, such as Keil, IAR, Eclipse, Ozone, or equivalent.
• Solid understanding of common MCU peripherals and interfaces, such as SPI, I2C, UART, etc.
• Hands-on experience using lab equipment such as oscilloscopes and logic analyzers for system bring-up and debugging.
• Experience with Jira, Confluence, and other collaboration tools.
• Proficiency with source code version control systems, including Git.
• Good understanding of software testing and test automation principles.
• Strong problem-solving skills, with the ability to debug complex system-level hardware and software issues.
• Experience with scripting languages is required; Python experience is highly desirable.
• Strong written and verbal communication skills, along with solid technical documentation ability.

Scope 

We are seeking an experienced Memory Lead Engineer with expertise in memory technologies including SRAM, DRAM, HBM, RRAM, and MRAM. Energy Efficient memory has become vital for Ambiq’s products, particularly as edge AI workloads grow in complexity.  As a Memory Lead Engineer, you will be responsible for end-to-end memory deployments into our products, such as defining the memory roadmap, memory evaluation, recommending memory architectures and circuit design strategies, leading memory characterization, and more.  Your role will involve working closely with cross-functional teams, including system architects, circuit designers, and process engineers within Ambiq, as well as third-party memory vendors and foundries.

Responsibilities

• Research and analyze the latest memory technologies to understand their characteristics, advantages, and its limitations to provide energy efficient memory solution
• Collaborate with system architects and product teams to define memory requirements and specifications for next-generation products.
• Evaluate and simulate memory circuits and develop memory architecture and customization proposals.
• Serve as lead using both internal and third-party resources to implement new memory architectures and customizations.
• Lead memory characterization and compiler efforts.
• Conduct detailed circuit and system-level simulations to evaluate memory performance, stability, and reliability.
• Work closely with process engineers and third-party foundry engineers to ensure high yield and reliability for new memories.
• Conduct thorough analysis of memory test data, identify issues, and propose design enhancements or process modifications.
• Stay up to date with the latest advancements and industry trends in emerging memory technologies and contribute to technical discussions and brainstorming sessions.

Qualifications

• Bachelor’s degree in electronics engineering or a related field. A master's or Ph.D. degree is preferred.
• Experience in memory architecture design and memory compilers, particularly in HBM, SRAM, DRAM, MRAM, and RRAM. Proficiency in low power and high-performance memory technologies.
• Strong understanding of memory architectures, including memory cells, sense amplifiers, drivers, and peripheral circuits.
• Proficiency in industry-standard EDA tools for circuit simulation and design.
• Experience running memory characterization using standard EDA tools.
• Knowledge of layout design principles and experience working closely with layout designers.
• Familiarity with semiconductor manufacturing processes and integration challenges.
• Ability to conduct detailed analysis and troubleshooting of memory test data.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Strong communication and teamwork skills to collaborate with cross-functional teams.
• Demonstrated ability to adapt to changing project priorities and meet tight deadlines.

Responsibilities

• Responsible for scan insertion, boundary scan, MBIST, ATPG for ultra-low power SoC based on subthreshold operation using standard EDA tools.
• Develop and implement low-power DFT architecture and infrastructure.
• Generate structural test vectors, analyse, and improve coverage, test time and test cost.
• Perform pre/post-layout scan and MBIST simulations.
• Work with designers on STA, physical, power and logical issues related to DFT.
• Work with test engineers to bring up test vectors on silicon.

Qualifications 

• BS/MS in ECE/EE and at least 10 years of experience in DFT implementation.
• Skilled in different types of DFT structures, including scan (Stuck-At, At-Speed, Path-Delay), scan compression, boundary scan and MBIST.
• Experience in creating and implementing hierarchical DFT architecture in complex SoC.
• Experience in Low-Power DFT and MBIST.
• Experience in test time and test coverage analysis for scan and MBIST patterns.
• Experience in working with test engineering team to bring up production test program. 
• Extensive knowledge of timing concepts and constraint development.
• Experience in developing scan ATPG and MBIST test benches and simulation in pre/post-layout environments.
• Experience in RTL is required.
• Experience in scripting like Tcl is preferred.
• Experience with GLS (gate level simulation) is preferred.
• Motivated, self-driven engineer with attention to detail.
• Strong verbal and written English communication skills.

Responsibilities

• Responsible for scan insertion, boundary scan, MBIST, ATPG for ultra-low power SoC based on subthreshold operation using standard EDA tools.
• Develop and implement low-power DFT architecture and infrastructure.
• Generate structural test vectors, analyse, and improve coverage, test time and test cost.
• Perform pre/post-layout scan and MBIST simulations.
• Work with designers on STA, physical, power and logical issues related to DFT.
• Work with test engineers to bring up test vectors on silicon.

Qualifications 

• BS/MS in ECE/EE and at least 10 years of experience in DFT implementation.
• Skilled in different types of DFT structures, including scan (Stuck-At, At-Speed, Path-Delay), scan compression, boundary scan and MBIST.
• Experience in creating and implementing hierarchical DFT architecture in complex SoC.
• Experience in Low-Power DFT and MBIST.
• Experience in test time and test coverage analysis for scan and MBIST patterns.
• Experience in working with test engineering team to bring up production test program. 
• Extensive knowledge of timing concepts and constraint development.
• Experience in developing scan ATPG and MBIST test benches and simulation in pre/post-layout environments.
• Experience in RTL is required.
• Experience in scripting like Tcl is preferred.
• Experience with GLS (gate level simulation) is preferred.
• Motivated, self-driven engineer with attention to detail.
• Strong verbal and written English communication skills.

 What you need 

We're seeking passionate technologists who thrive on pushing the boundaries, solving complex challenges, and driving transformative solutions. 

At Ambiq, you'll collaborate with a dynamic team that values relentless innovation, customer-centric thinking, and continuous learning. If you're a self-motivated, creative problem-solver eager to push technological limits and make a meaningful impact in energy efficiency, this is your opportunity to grow, excel, and turn groundbreaking ideas into reality. 

Most importantly, the successful candidate will be able to live the Ambiq Shared Values: 

• Innovate: We tenaciously find ways to break down the barriers to possible solutions 
• Collaborate: We proactively communicate and encourage each other to be better. 
• Focus: We keep the voice of the customer at the center of everything we do. 
• Learn: We strive for continuous improvement and are always curious. 
• Achieve: We execute on quality and follow through on our commitments. 

Scope  

This role will be on-site 5 days a week in NW Austin.

Scope

As a member of the team at Ambiq, an Sr. Staff Embedded Software Engineer (Security),  will provide technical and team leadership in extending and supporting Ambiq’s Secure Bootrom/Bootloader and SDK for the Apollo SoC and emulation platforms.

This role will work within our global MCU software development team, closely with the architecture team and local MCU SoC design teams, focusing on MCU software development and testing.

A successful candidate should be team-oriented, fast-learning, result-driven, and self-motivated with an “always learning” mindset. He/She will have an inquiring spirit and be comfortable in a lab environment, working hands-on with bare metal hardware and debugging tools for embedded systems.

The candidate will be involved in maintaining and extending the Secure Boot ROM, Secure Bootloader, and security aspects of the SDK for Ambiq MCU products from concept through release.

Responsibilities

• Technical Leadership within the MCU Software team. Lead the technical planning, work assignments, and implementation for the new products and new features to be implemented by the MCU software team.
• As the team scales, there's a potential path to managing a small to mid-size team. The candidate is someone who's excited to grow into a player-coach role over time.
• Work with the teams, e.g., Design, Architecture, Verification, and Applications, to define and implement new security features from design to production.
• Participate in testing and verification of pre-silicon (via FPGA emulation), and post-silicon (first Silicon), and debug of issues found, focusing on Secure Bootrom and Bootloader and the hardware features supporting them.
• Integration and Testing of runtime cryptographic operations utilizing the embedded hardware accelerators.
• Work closely with the SQA and System Test team to help define and implement test cases for security deliverables to ensure full coverage.
• Work with other team members to implement the hardware abstraction layer (HAL) and board support package (BSP) of the SDK.

Qualifications

• BS/MS (EE, CE, or CS) with 10+ years of embedded projects utilizing both bare metal and RTOS systems/real-time environments.
• 3+ years of team management experience preferred
• Expert-level proficiency in C, with C++ and object-oriented extensions.
• Embedded Expertise: Strong knowledge of ARM architectures, RTOS, and low-level drivers (I2C, SPI, UART).
• Security Expertise: Experience with Secure Boot, PKI, encryption (AES, RSA, ECC), and embedded security (TrustZone, CryptoCell).
• Experience: Bachelor’s or Master's in CS/EE with 5+ years of relevant embedded security experience.
• Familiarity with debuggers (JTAG, Saleae), Git, and scripting languages (Python, Bash).
• Understanding of security implications for the embedded systems, and familiarity with IoT security concepts (TrustZone, CryptoCell, and secure boot)
• Strong proficiency in Python
• Use of gcc and Arm compilers and MCU IDEs from ARM, Keil, IAR, Eclipse or others
• Excellent problem-solving skills dealing with issues related to HW/SW debug, FPGA/Silicon testing
• Technical Leadership of projects utilizing CI/CD development and automated testing principles.
• Strong documentation skills, mentorship of junior engineers, and ability to work in cross-functional teams. 

**Must be currently authorized to work in the United States for any employer. We do not sponsor or take over sponsorship of employment visas (now or in the future) for this role.

Scope

Ambiq is seeking a Principal Edge AI Runtime & Compiler Engineer to build and optimize the embedded software stack that powers real-time, battery-powered on-device AI. You will develop Ambiq’s AI runtimes, performance-critical operator libraries, and profiling/debug tooling that enable customers to deploy efficient inference on resource-constrained devices.

While the cloud has been the default home for AI, the next frontier is distributing intelligence everywhere—directly onto real-world devices. Edge AI enables real-time responsiveness, stronger privacy, lower bandwidth cost, and reliable operation even without connectivity. This role helps accelerate the shift to on-device intelligence across a rapidly growing ecosystem of health and fitness wearables, smart glasses, industrial IoT, and always-on sensors.

You’ll work closely with platform, silicon, and applied ML teams—and directly with customers—to ensure our software extracts maximum performance and energy efficiency from Ambiq hardware while remaining easy to integrate into production embedded toolchains.

Responsibilities 

• Develop and support Ambiq’s embedded AI runtimes (HeliaRT—our fork/extension of TensorFlow Lite for Microcontrollers—and HeliaAOT) with focus on portability, correctness, performance, and usability.
• Implement and optimize ML operator kernels and embedded libraries for on-chip acceleration (DSP, vector, NPU), including HeliaDSP and HeliaCore components.
• Build and maintain on-device profiling and performance analysis tools, including converting PMU counters into actionable insights.
• Drive improvements in latency, memory footprint, and energy (e.g., joules/inference) through compute/bandwidth and memory-hierarchy analysis.
• Develop benchmark harnesses, microbenchmarks, and regression tests to ensure numerical correctness and prevent performance regressions.
• Enable seamless customer integration across embedded environments and toolchains (bare metal, FreeRTOS, Zephyr).
• Improve memory planning/runtime efficiency and manage upstream/fork health; publish and maintain customer-facing assets (docs, guides, examples, benchmarks).

Qualifications 

• BS in Electrical/Computer Engineering, Computer Science, or related field + 5+ years relevant experience (or equivalent practical experience). MS is a plus, especially in embedded systems, compilers, computer architecture, or ML systems.
• Strong experience designing, developing, and testing embedded software in C/C++.
• Strong debugging discipline with an emphasis on correctness, reproducibility, and performance regression prevention.
• Solid understanding of compute, memory, and bandwidth/cache effects on deterministic latency and energy efficiency in constrained systems.
• Ability to interpret hardware/software documentation (datasheets, reference manuals; schematics a plus).
• Proficiency with Git (or equivalent version control).
• Efficient use of AI-assisted development tools to improve productivity while maintaining engineering rigor.
• Experience with embedded development workflows: Arm toolchains, GDB + J-Link/SEGGER-class probes, and CMake/Make build systems.

Nice to have:

• Python for profiling/analysis tooling, automation, and developer utilities.
• Rust experience.
• Familiarity with TensorFlow Lite for Microcontrollers (or similar embedded inference runtimes).
• Experience optimizing for embedded acceleration targets (e.g., DSP, vector extensions, NPU).
• Familiarity with CMSIS-NN, CMSIS-DSP, and/or Vela (or similar).
• Working knowledge of quantized inference (e.g., int8, per-channel) and embedded debugging implications.
• Packaging/integration (e.g., CMSIS-Pack/CPM.cmake) and/or lab measurement experience (power/debug with basic bench tools).

Must be currently authorized to work in the United States for any employer. We do not sponsor or take over sponsorship of employment visas (now or in the future) for this role.

This role will be on-site 5 days a week in NW Austin.  Must have the right to work in the US without visa sponsorship now or in the future. 

Scope

As the Software Architect at Ambiq, you will drive the software architecture and requirements for our latest family of low-power Edge AI MCUs.  As a Software Architect, you will be working closely with our SoC hardware architects, product marketing, and our IP vendors to develop solid functional allocations and requirements for our software development and system test teams.  The role will cover the areas of multi-processor communications, data movement acceleration, virtual memory management, dynamic resource allocation, power optimization, and debug tools.  You will be embedded into Ambiq’s software development teams as the subject matter expert for the duration of the product development.   

The successful candidate will have extensive experience in the early-stage software development process.  The candidate must have strong experience in embedded software programming on ARM Cortex-M processors using RTOS.  They must be familiar with methods for functional allocation, requirements traceability, Software Requirement Specification content, and make vs. buy analysis for commercial and open-source software.  

Responsibilities 

• Requirements analysis based on disparate and preliminary information from SoC hardware architecture team, product marketing, other software architects, and software development teams resulting in contributions to a software requirements specification for the device. This should include any software prototyping required to refine the architectural understanding and requirements. 
• Working closely with our field, product marketing, and system test teams to understand our Alpha customer use cases and their impact on requirements and testability. 
• Engaging during the software implementation and test phases to review designs, test plans, code, and test case results as a SME for certain aspects of the SoC software architecture. 
• Support performance and power optimization of the areas for which you are responsible. 
• Define and enforce architectural standards, guidelines, and best practices. 
• Collaborate with cross-functional teams to align architectural decisions with overall business objectives. 
• Diagnose and resolve complex technical issues and recommend trade-offs between software and hardware implementations. 
• Collaborate effectively with cross-functional teams to achieve project goals. 
• Mentor and guide junior team members. 

 Qualifications 

• A Bachelor's of Science or Master's in Electrical Engineering, Computer Engineering, or Computer Science. 
• 12+ years of experience developing embedded software for real-time environments (bare metal and RTOS). 
• Experienced in code development in C/C++ and assembly language for embedded targets using ARM Cortex-M processors. 
• Experience in writing software requirements specifications with an eye towards customer use cases, derived software requirements, and testability on FPGA-based emulation platforms, as well as full system reference designs. 
• Experience with asymmetric multicore systems and control/data plane interaction, including inter-processor communication via remote processor messaging frameworks (e.g., OpenAMP or RPMsg). 
• Experience with general-purpose data movement engines, memory management units, memory protection, L1/L2 caches, shared memories, and dual-port memories. 
• Experience in power optimization for embedded systems is desirable. Familiarity with voltage and frequency scaling, clock gating, sleep/wake cycles, and low-power modes of processors and peripherals.
• Familiarity with at least one MCU IDE on Windows from ARM/Keil, IAR, Eclipse, or others. 
• Familiarity with Trust Zone for M-Class microcontrollers and/or Trusted Firmware for microcontrollers is preferred. 
• Experience with Graphics, Display and Audio/Video processing in embedded systems preferred. 
• The candidate must be able to independently manage assigned tasks, prioritize workload, and meet deadlines with minimal supervision. Proactive problem-solving skills and the ability to seek clarification when needed are essential. 

Austin, TX – Onsite (5 days/week)
U.S. Work Authorization Required (No Sponsorship Available)

Architect the Software Foundation for Ultra-Low-Power Edge AI Silicon

Ambiq designs and ships ultra-low-power Edge AI MCUs that enable real-time intelligence directly on device.

We are expanding our Austin engineering organization and hiring a Principal Embedded Software Architect to define the software architecture and requirements for our next-generation Edge AI MCU platforms.

This role sits at the hardware/software boundary — partnering directly with SoC architects, product teams, IP vendors, and embedded software leaders to shape how our silicon is exposed, controlled, optimized, and validated.

You won’t just write code.
You will define how the system behaves.

What You’ll Own

As Principal Architect, you will:

• Define the software architecture for next-generation low-power Edge AI MCUs

• Drive early-stage functional allocation between hardware and software

• Develop and refine Software Requirements Specifications (SRS) tied to real customer use cases

• Lead architectural decisions across:

  • Multi-processor communication

  • Control/data plane separation

  • Data movement acceleration

  • Memory management and protection

  • Dynamic resource allocation

  • Power optimization strategies

  • Debug and visibility tooling

• Partner with SoC architects to influence hardware/software trade-offs

• Support software prototyping to validate architectural decisions

• Act as architectural SME through implementation, validation, and bring-up phases

• Review designs, test plans, and implementation details to ensure alignment with architectural intent

• Mentor engineers and define best practices across embedded teams

This is a high-impact architectural role influencing multiple MCU generations.

Technical Environment

You will work deeply across:

• ARM Cortex-M architectures

• Bare metal and RTOS-based systems

• Asymmetric multi-core systems

• Inter-processor communication (OpenAMP, RPMsg, etc.)

• Data movement engines and acceleration blocks

• MMU/MPU, caches, shared memory, dual-port memory

• Power management (DVFS, clock gating, low-power states)

• FPGA-based emulation platforms and full reference systems

You will be embedded within engineering teams while influencing cross-functional decisions across silicon and software domains.

What We’re Looking For

Required Experience

• BS or MS in EE, CE, or CS

• 12+ years developing embedded software for real-time systems

• Deep experience on ARM Cortex-M platforms

• Strong C/C++ (assembly experience preferred)

• Experience defining and writing Software Requirements Specifications (SRS)

• Strong understanding of:

  • Functional allocation

  • Requirements traceability

  • Testability across pre-silicon and post-silicon platforms

• Experience with asymmetric multicore architectures

• Strong knowledge of memory systems, data movement, and processor interaction

• Ability to independently drive architectural decisions

Preferred Experience

• Power optimization strategies in embedded systems

• TrustZone for M-class microcontrollers

• Trusted firmware environments

• Graphics, display, or audio/video processing

• Experience working with IP vendors and external silicon partners

Why This Role Is Different

• Direct architectural influence on Edge AI MCU platforms

• Close collaboration with silicon architects and IP vendors

• Ownership across early-stage definition through validation

• Opportunity to shape hardware/software trade-offs that impact power, performance, and scalability

• Austin-based collaboration culture with tight hardware/software integration

This is a principal-level role for engineers who want to define system behavior — not just implement features.

Location & Work Authorization

Austin, TX – Onsite 5 days per week
Must be authorized to work in the United States. We do not sponsor or transfer visas for this role.

Scope

As the Senior Embedded Graphics Software Engineer at Ambiq, you will support the development and testing of AmbiqSuite SDK on Ambiq SoC devices and emulation platforms, focusing on the graphics processing unit (GPU) Hardware Abstraction Layer (HAL) and the graphics stack for Ambiq’s mainstream and next-generation MCU. 

This role works within our global MCU software development team and will work closely with more senior graphics software development team members, focusing on MCU graphics software development and test activities.    

The successful candidate should be a fast-learning, result-driven, and self-motivated team player with an “always learning” mindset. He should have an inquiring spirit and be comfortable in a lab environment and in executing hands-on debugging for embedded systems. 

The person in this role will be responsible for maintaining the current platform and extending the GPU HAL and software stack of the graphics SDK to new platforms as well as enhancing its features and content. The candidate will be involved in the extension of the SDK to cover new MCU members of the family as they become available.   

Responsibilities 

• Collaborate with software senior graphics software developers to implement the HAL and graphics API for the embedded GPU on Ambiq MCUs. 

• Design, implement and maintain the graphics API and the underlying graphics software stack, including the GPU and Display HAL layers. 

• Develop and maintain example applications and test cases to demonstrate and validate graphics features. 

• Play a key role in GPU-focused pre-silicon verification on FPGA platforms, as well as post-silicon bring-up, system validation, and debugging. 

• Provide support to Design Verification (DV), system validation teams, field engineers, and key customers as needed. 

Qualifications 

• MS in ECE or Computer Science and 4+ years of experience or BS ECE/CS with 6+ years of experience. 

• Expertise in at least one embedded GPU IP, with a solid understanding of the full graphics pipeline and hands-on experience developing HAL and graphics software stacks. 

• Experience with OpenGL ES or other 3D graphics APIs. 

• Experience with graphics frameworks such as LVGL is preferred 

• Experience with vector graphics acceleration or software libraries is preferred. 

• Experience with embedded system display interfaces, such as MIPI DSI, DBI, DPI, or Memory-In-Pixel. 

• In-depth knowledge of ARM architecture, with a preference for M-profile (Cortex-M) cores preferred. 

• Strong understanding of embedded RTOS concepts; experience with Zephyr and FreeRTOS is preferred. 

• Experience with developing embedded MCU code in C and assembly language on Arm Cortex-M Processors, with at least one MCU IDE from ARM, Keil, IAR, Eclipse, O-zone or other. 

• Good hands-on experience with lab equipment such as oscilloscopes, logic analyzers etc. for debugging issues.  

• Experience with Jira, Confluence and collaboration tools.  

• Experience with source code control systems (git) required.  

• Understanding software testing and test automation principles.  

• Excellent problem-solving skills dealing with complex system level issues related to HW/SW debug. 

• Experience with scripting languages required and python experience is desirable. 

• Strong communication and documentation skills. 

This role will be on-site 5 days a week in NW Austin.

As a member of the Security team at Ambiq, the Senior Staff Software Engineer, Security will participate in developing and supporting Ambiq’s TrustZone-based Trusted Execution Environment (TEE) offering for the Apollo & Atomiq SoC and emulation platforms.  

This role will work within our Security software development team and will work closely with SoC and system architecture teams, Security architects and local SoC design team, focusing on enabling the TrustZone functions in Ambiq’s SoC and software offerings.  

A successful candidate should be a fast-learning, result-driven, and self-motivated team player with an “always learning” mindset. He should have an inquiring spirit and be comfortable in a lab environment and with hands-on debugging of embedded systems.  

The candidate will be involved in the extension of each of these to cover new MCU members of the family as they become available. 

Responsibilities 

• Enable Trusted Execution Environments (TEE) support on Ambiq’s TrustZone (ARM v8) enabled Apollo and Atomiq family of products. 

• Take reference Trusted Firmware for Microcontroller (TF-m) implementation from ARM and adapt it to suit the specifics of Ambiq’s TrustZone implementation 

• Drive necessary Secure Bootloader software updates, laying the foundation for TEE and implementing necessary elements required for TF-m. 

• Help drive SDK infrastructure and architectural changes to support TF-m-enabled systems. 

• Spearhead Ambiq's compliance efforts by supporting industry-leading security certifications like ARM PSA and SESIP. 

• Work closely with Alpha customers to ensure seamless integration of TF-m by testing and verifying its functionality in customer builds 

• Work closely with the SQA and System Test team to help define and implement test cases for security deliverables to ensure full coverage.  

 Qualifications 

• A Bachelor's of Science or Master's in Electrical Engineering, Computer Engineering, or Computer Science. 

• 10+ years of experience developing embedded software for real-time environments (bare metal and RTOS). 

• At least 5 years working on embedded security, cryptography, TrustZone, and secure boot. 

• Solid understanding & proven ability to port and support ARM Trusted Firmware for Microcontrollers (TF-m). 

• Understanding of security implications for the embedded systems, and experience with IoT security concepts (TrustZone, Root of Trust, Secure Boot, Secure Update) 

• Familiarity and prior experience with ARM Platform Security Architecture (PSA), ARM TrustZone for microcontrollers, cryptographic algorithms/protocols, and ARM Cryptocell. Expertise in embedded C and assembly language, particularly for system initialization. 

• Familiarity with at least one MCU IDE on Windows from ARM/Keil, IAR, Eclipse, or others. 

• The candidate must be able to independently manage assigned tasks, prioritize workload, and meet deadlines with minimal supervision. Proactive problem-solving skills and the ability to seek clarification when needed are essential. 

• Experience in prioritizing tasks and managing workflow for oneself and potentially others in the future. Ability to delegate effectively and keep projects on track to achieve desired outcomes.

Must be currently authorized to work in the United States for any employer. We do not sponsor or take over sponsorship of employment visas (now or in the future) for this role.

This role will be on-site 5 days a week in NW Austin.

Scope 

We’re seeking an accomplished Director of Physical Design to lead and scale our physical implementation organization for next-generation ultra-low-power microcontroller (MCU) products. This is a strategic, high-impact leadership role responsible for driving the physical design roadmap, ensuring world-class PPA (power, performance, area), and delivering robust silicon for high-volume embedded applications.

You will guide a multidisciplinary team across physical implementation, methodology, and signoff, partnering closely with architecture, RTL design, analog/mixed‑signal, verification, and product engineering to bring innovative MCU solutions to market.

Key Responsibilities

Leadership & Strategy

• Define and execute the physical design strategy for low‑power MCU product lines.
• Build, mentor, and lead a high‑performing global physical design team.
• Establish best‑in‑class methodologies for low‑power, high‑reliability physical implementation.
• Drive continuous improvement in design flows, automation, and signoff quality.

Physical Implementation

• Oversee full‑chip and block‑level physical design including:
• Floorplanning
• Power planning and low‑power architecture implementation
• Clock tree synthesis (CTS)
• Place & route (P&R)
• Timing closure
• Physical verification (DRC/LVS)
• EM/IR and rel-ability signoff
• Ensure optimal PPA tradeoffs tailored for ultra‑low‑power MCU architectures.

Cross-Functional Collaboration

• Partner with architecture and RTL teams to influence early design decisions.
• Work closely with analog/mixed‑signal teams to integrate mixed‑signal IP into SoCs.
• Collaborate with product engineering and operations to ensure manufacturability and yield.
• Interface with foundries to align on technology capabilities, PDK updates, and design rules.

Execution & Delivery

• Own physical design schedules, resource planning, and risk management.
• Ensure first‑silicon success through rigorous signoff and validation processes.
• Drive tape‑out readiness and post‑silicon debug support.

Qualifications

Required

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related field.
• 15+ years of experience in physical design for complex SoCs, with at least 5 years in leadership roles.
• Proven track record of delivering multiple chips to production.
• Deep expertise in:
• Low‑power design techniques (multi‑Vt, power gating, DVFS, retention, etc.)
• Physical design tools (Synopsys, Cadence, Mentor)
• Advanced process nodes (40nm → 22nm → 12nm and below)
• Strong understanding of MCU architectures and embedded system constraints.
• Excellent communication, leadership, and cross-functional collaboration skills.

Preferred

• Experience with mixed‑signal SoCs and integration of analog IP.
• Background in high-volume consumer or industrial MCU products.
• Familiarity with security-focused or safety-certified MCU designs (e.g., ISO 26262).
• Experience building and scaling distributed engineering teams.

Must be currently authorized to work in the United States for any employer. We do not sponsor or take over sponsorship of employment visas (now or in the future) for this role.

Scope  

As the Staff Engineer, System Test at Ambiq, you will drive the development and execution of system-level tests to improve design coverage and measure system performance for ARM Cortex-M4, Cortex-M55, DSP and NPU-based platforms. You will also engage in deep-dive debugging across multiple layers, from high-level system behavior to low-level firmware and driver code and hardware blocks, to ensure optimal integration, reliability, and performance.    

 This role will work closely with global MCU software, validation, and architecture teams, collaborating closely with SoC design engineers, firmware developers, and hardware teams to define and execute comprehensive test and validation plans for MCU-based platforms.    

 The successful candidate will be a proactive, detail-oriented engineer with strong problem-solving skills, comfortable working across hardware and software boundaries. They will thrive in an environment that values technical excellence, effective cross-team collaboration, and continuous learning. 

 The person in this role will define, design and implement test cases for the SDK primarily using C, architected for automation using Ambiq’s automation framework – primarily using Python, validate system functionality and performance, perform in-depth debugging of MCU subsystems including Fabrication, DMA, and peripherals, and provide technical leadership in system test methodology and automation. 

Responsibilities 

• Plan, develop, and execute system-level test strategies for ARM Cortex-M4, Cortex-M55, DSP, and NPU-based platforms. 

• Design and implement firmware test frameworks to validate system functionality, performance, and reliability across multiple integration layers. 

• Develop, maintain, and execute embedded test cases for the SDK using primarily using C and assembly. 

• Develop, maintain, and execute automation using Python or other scripting languages 

• Measure, analyze, and report on system performance metrics, identifying bottlenecks and recommending optimizations. 

• Debug and resolve complex issues spanning from application-level interactions to low-level firmware, drivers, and hardware interfaces. 

• Collaborate with architecture, hardware, and software teams to define test requirements and acceptance criteria. 

• Support pre-silicon validation on FPGA/emulation platforms as well as post-silicon bring-up, validation, and debugging. 

• Contribute to continuous improvement of test methodologies, tools, and workflows. 

• Mentor and guide junior engineers in system testing, embedded development, and automation best practices.  

Qualifications 

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field.  

• 8+ years of experience in embedded system-level testing, validation, or embedded system development, preferably on ARM Cortex-M architectures. 

• Proficiency in C/C++ and Assembly programming for embedded targets. 

• Strong understanding of MCU architecture, including DMA, memory hierarchy, peripheral interfaces, and interrupt handling. 

• Knowledge of embedded RTOS concepts (FreeRTOS, Zephyr, etc.) preferred. 

• Strong Python programming skills for test automation and data analysis. 

• Experience working at system OEMs and performing system-level debugging is preferred. 

• Familiarity with hardware bring-up, schematic/block diagram reading, and interface validation is highly desirable. 

• Strong debugging skills using oscilloscopes, logic analyzers, and other lab equipment. 

• Familiarity with MCU peripherals such as display, audio, and wireless interfaces is a strong plus.

• Excellent problem-solving skills, able to work independently and manage multiple priorities. 

• Strong communication skills and ability to work effectively in cross-functional teams.