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We are seeking an experienced Signal/Image Processing and Machine Learning engineer to join our team. The role focuses on developing innovative, real-time deep learning and signal processing solutions for new sensing and imaging systems, including video restoration. You will be part of an interdisciplinary team developing technologies that will shape future Apple products.
Description
Algorithm and model development:
- Design, implement, and optimize signal processing and machine learning models for sensing and imaging tasks, including video restoration.
- Develop and validate models using real sensor data, simulated data, and public datasets.
- Prepare, filter, process, and analyze large-scale datasets to train and evaluate models.
- Analyze your algorithm's results and benchmark them against leading methods, and theoretical bounds.
- Optimize models for real-time performance, low latency, and resource efficiency on-device.

Sensing and research:
- Develop algorithms that combine classical signal processing with learned models to extract robust information from sensor data.
- Investigate efficient architecture patterns (lightweight backbones, attention mechanisms, recurrent designs) suitable for real-time, on-device inference.
- Explore how algorithmic approaches can mitigate artifacts and limitations of new sensing and imaging systems.
- Stay current with recent advances in signal processing, computer vision, and machine learning.

Collaboration and technical leadership:
- Work closely with ML researchers, SW, HW, sensor, and architecture engineers to translate research ideas into robust models and practical, shipping systems.
- Provide technical guidance and mentorship to junior engineers, and help shape the team's technical direction.

Responsibilities
- Own the end-to-end development of real-time algorithms, from concept and prototyping through validation and deployment.
- Define evaluation methodology, metrics, and failure analysis processes for sensing and imaging algorithms.
- Drive trade-off decisions among accuracy, latency, power, and memory across algorithm, HW, and system constraints.

We are seeking an experienced Signal/Image Processing and Machine Learning engineer to join our team. The role focuses on developing innovative, real-time deep learning and signal processing solutions for new sensing and imaging systems, including video restoration. You will be part of an interdisciplinary team developing technologies that will shape future Apple products.
Description
Algorithm and model development:
- Design, implement, and optimize signal processing and machine learning models for sensing and imaging tasks, including video restoration.
- Develop and validate models using real sensor data, simulated data, and public datasets.
- Prepare, filter, process, and analyze large-scale datasets to train and evaluate models.
- Analyze your algorithm's results and benchmark them against leading methods, and theoretical bounds.
- Optimize models for real-time performance, low latency, and resource efficiency on-device.

Sensing and research:
- Develop algorithms that combine classical signal processing with learned models to extract robust information from sensor data.
- Investigate efficient architecture patterns (lightweight backbones, attention mechanisms, recurrent designs) suitable for real-time, on-device inference.
- Explore how algorithmic approaches can mitigate artifacts and limitations of new sensing and imaging systems.
- Stay current with recent advances in signal processing, computer vision, and machine learning.

Collaboration and technical leadership:
- Work closely with ML researchers, SW, HW, sensor, and architecture engineers to translate research ideas into robust models and practical, shipping systems.
- Provide technical guidance and mentorship to junior engineers, and help shape the team's technical direction.

Responsibilities
- Own the end-to-end development of real-time algorithms, from concept and prototyping through validation and deployment.
- Define evaluation methodology, metrics, and failure analysis processes for sensing and imaging algorithms.
- Drive trade-off decisions among accuracy, latency, power, and memory across algorithm, HW, and system constraints.

We are looking for a hands-on engineer to join our Platform Architecture post-silicon team. This team analyzes and tunes the performance and power of Apple Silicon for the Mac, and takes the learnings and measurements to drive SoC architecture change for future chips. If you work comfortably across the hardware/software stack, and the idea to bring up brand-new chips that just arrived from the fab does not scare you but gets you excited, when we would like to hear from you.

You will join a multidisciplinary team of architecture, silicon design, and system software engineers driving the performance and energy efficiency of Apple SoCs. The work spans application software, system software, SoC architecture, and microarchitecture, and sits at the intersection of measured silicon behavior and forward-looking architecture definition. You will build a deep understanding of how current and planned Apple products behave end to end, and use it to influence both hardware and software direction.

Responsibilities
Tune and define SoC memory and fabric performance state controllers on unreleased silicon, and propose improved control and observability mechanisms for future generations.
Plan and execute architecture studies that drive performance and energy-efficiency decisions for future SoCs.
Build tools, workflows, and automation for repeatable analysis of simulated and measured data, including terabyte-scale traces from prototype devices.
Architect hardware features that improve workload characterization and enable robust online control of power and performance.
Debug complex interactions between system software and SoC hardware.
Assess the feasibility of future use cases, SoCs, and products.
Communicate findings across chip design, architecture, software, and system teams to enable data-driven decisions.

This role is for a analog IP lead who will enable us to produce fully functional first silicon IP designs. The responsibilities include all phases of silicon development from definition to high quality production.


Specifying requirements and circuit architecture for analog blocks and sub-blocks of an IP, lab bring-up, characterization and debug, write specifications, test plans and characterization reports, work with chip design teams, system HW and SW design teams, ATE PE.

You will be responsible for:
Develop the circuit design of the IPs analog blocks following established design guidelines based on microarchitecture spec. Own all aspects of circuit design development.
Work and collaborate with other designers in the group to deliver results.
Work with FE & BE teams to ensure quality analog integration.
Work with power/performance and functional verification team to define and validate operation sequences.
Work with multi-disciplinary teams to make sure designs are delivered on time and with highest quality by incorporating proper checks at every stage of the design process.
Work with post silicon validation groups to ensure the design meets the power/performance targets.

We are looking for a HW Lead Engineer to help define, shape, and integrate cutting-edge solutions for the next generation of our cloud platforms.
As a Card Lead Engineer in the Nitro/K2 team you will be responsible for defining Annapurna Labs Network Interface Card (NIC) hardware for the Compute a storage servers type, owning the development and validation of Nitro cards, including readiness for mass production.
Youll provide leadership in new technologies of the HW interfaces, bringing them to large-scale deployment, in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and youll work with technical experts, senior leaders, and multiple areas of technology.


Key job responsibilities
- Own the design and sustain of the Nitro Smart Network Interface Card for CMRI vertical use cases.
- Work with joint design partners and manufacturing sites, to enable healthy mass production of the Nitro card.
- Review, identify, and qualify second-source electrical components, to enable continuity of supply.
- Analyze and debug design/manufacturing/integration issues.
- Continuously assess process capabilities and innovate to simplify processes, reduce costs, and shorten the time cycle of Nitro cards development and manufacturing.
- Collaborate with members of cross-functional teams, to gain knowledge and improve product design, processes, and quality.
- Work with customers, to optimize the entire value stream and put together joint processes that will lead to improved time cycle and lower costs.
- Willing to travel abroad one or two times a year, for a week at a time.

We are looking for talented engineers to join the Pre-silicon Verification team and help us technically lead the challenges of the next decade, developing a semiconductor platform based on revolutionary architecture, and taking part in the development of cutting-edge products within a disruptive system architecture.
Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, and fast-paced environment.

We're looking for a System Engineer with Software or Hardware Engineering background to be part of defining, shaping and integrating solutions to next generation of our cloud platforms.

We are looking for an exceptional engineer to own the development, testing, and monitoring of the manufacturing health of our Graviton server products. You will be part of a team integrating new silicon, hardware, firmware, and software into a revolutionary system architecture.

Key job responsibilities
Lead triage, debugging, and root cause analysis of systems in AWS data centers.
Enhance troubleshooting capabilities and drive closure of in-fleet problems.
Analyze customer workflows and requirements to provide targeted resolutions.
Collaborate with Annapurna Labs monitoring team and root cause teams to improve product quality and reliability in fleet operations.
Represent the customer voice by providing fleet operation insights and requirements to Annapurna Labs' ASIC design, software development, QA, and architecture teams.
Develop and maintain training materials, quality documentation, and collateral to improve in-fleet operations.
Design and implement tools and scripts to support projects and customize solutions based on requirements.
Travel as needed, approximately 2-4 times per year.

As a System Verification Software Engineer, you will join a unique team that works at the heart of chip development, at the HW/SW boundary, collaborating across teams to ensure our semiconductor platforms meet the highest standards before they reach production, as we lead the market with our cutting-edge devices.
Youll be part of a team that verifies Graviton chips across emulation, silicon, and AWS production fleets-developing the tests, automation, and debug tooling that give us confidence our features function correctly on real hardware.

Key job responsibilities
* Verify and validate Graviton chips in emulation, silicon, and post-production.
* Develop tests that ensure our features function as intended.
* Build automation and debugging tools for silicon regressions and bring-up.
* Collaborate with hardware design and software teams to identify, analyze, and resolve design issues and verification gaps.
* Debug failures across diverse platforms (emulation and silicon).

we are seeking a Lead Systems Engineer with a strong background in electronics and a solid understanding of electronic systems to drive Point-of-Care Ultrasound systems engineering activities across the full product lifecycle.
Job Description
Key Responsibilities:
Lead and manage system-level requirements and specifications throughout product development
Drive system verification and validation activities, including end-to-end system testing
Act as the primary interface between Algorithm, Software, and Verification & Validation (V&V) teams
Lead product risk management activities in accordance with regulatory and quality standards
Drive resolution of complex technical issues to ensure project milestones and goals are met
Collaborate closely with Program Management to support scheduling, mitigate technical risks, and inform decision-making through sound engineering judgment.

The Staff Machine Learning Engineer is a senior technical leader responsible for designing, developing, and deploying production-grade AI systems for our company medical imaging products. This role focuses on vision-language models, diffusion models, and multimodal learning, working closely with data scientists, software engineers, product leaders, and clinical experts to turn advanced AI methods into robust product capabilities.
Key Responsibilities
Design, implement, and productionize AI models for clinical applications, including vision and diffusion models.
Own end-to-end model lifecycle: data ingestion, training, evaluation, deployment, monitoring, and iteration.
Work with large-scale medical datasets, ensuring data quality, preprocessing, and efficient pipeline management.
Drive technical decisions and tradeoffs with a focus on scalability, maintainability, and real-world constraints.
Collaborate with clinical AI scientists to translate research innovations into production-ready solutions.
Stay current with advancements in vision-language modeling, GenAI, and related AI technologies.

We are looking for a Senior Electrical Engineer to join our Sustaining Engineering team and play a key role in supporting the ongoing evolution of our company's innovative cancer treatment systems.
In this role, you will lead electrical engineering activities across design transfer and sustaining engineering, ensuring our products successfully transition from development into manufacturing while maintaining the highest standards of quality, reliability, manufacturability, and regulatory compliance.
Working closely with R&D, Manufacturing, Quality, and external suppliers, you will combine hands-on engineering with technical leadership to drive robust product solutions throughout the product lifecycle.
This is an excellent opportunity for an experienced engineer who enjoys solving complex technical challenges, mentoring others, and collaborating across multidisciplinary teams to bring life-changing medical technologies to patients worldwide.
What you will do:
Lead electrical engineering activities for Design Transfer and Sustaining Engineering projects.
Provide technical leadership and mentorship to electrical engineers within the DT & Sustaining Engineering team.
Serve as the company's subject matter expert for electrical design, supporting Design Transfer and Production activities.
Lead the transfer of electrical designs from R&D into manufacturing, ensuring manufacturability, quality, and reliability.
Partner with R&D teams to provide Design for Manufacturing (DFM) recommendations early in the development process.
Maintain and improve PCB and electrical board designs to support product robustness, manufacturability, and cost-effectiveness.
Define electrical project requirements, timelines, and budgets.
Generate and maintain complete production documentation, including PCB documentation, PCBA files, BOMs, assembly drawings, and work instructions.
Work closely with suppliers and manufacturing subcontractors throughout the product lifecycle.
Perform hands-on electrical design, testing, validation, and troubleshooting.
Develop and execute electrical test procedures and generate technical documentation and test reports.
Lead electrical design reviews and provide technical guidance to cross-functional teams.

We are looking for a talented V&V Manager who will build and lead the verification and validation strategy for complex defense systems, ensuring our technologies meet the highest standards of reliability, performance, and operational readiness.

What You Will Do
Hold final Go/No-Go authority for all major releases and customer deliverables, based on predefined quality thresholds and readiness criteria.
Own end-to-end V&V execution, including delivery milestones, resource planning, KPIs, and day-to-day operational performance.
Build and scale structured testing infrastructure: test plans, traceability, formal procedures, regression suites, and automation frameworks.
Increase automation coverage and reduce manual dependency through measurable quarterly improvement targets.
Lead multidisciplinary verification and validation activities, including in-house integration testing, field validation, pilot deployments, and adversarial scenario testing.
Partner with R&D to embed lifecycle quality gates and remain hands-on in system-level testing, debugging, and high-risk validation efforts during scaling phases.

Were looking a System Test Automation Engineer to drive system-level (HW+SW) verification for our products.

As a System Test Automation Engineer, youll architect and implement automation that exercises complex, integrated systems, not just software layers. Youll design tools and frameworks that interact with real hardware, real sensors, and real signals.

Key Responsibilities
Design and build automation frameworks for testing multidisciplinary systems including RF, sensors, and embedded hardware
Develop test scripts that connect to real hardware through various interfaces (serial, Ethernet, GPIO, APIs)
Perform both manual and automated testing, developing test plans based on real-world use cases and edge conditions
Debug hardware and software issues
Build internal testing tools (log analyzers, simulators, etc.) and create reusable testing components for data capture, validation, etc.

We are seeking an experienced Senior Real-Time Embedded Software Engineer to join our core engineering team and develop advanced software for high-performance, mission-critical embedded systems.

Key Responsibilities
Own tasks, infrastructure, and subsystems end-to-end, from requirements analysis and system modeling through design, implementation, testing, integration, and deployment.
Design, implement, integrate, and optimize real-time software for MCU-based platforms.
Translate system-level requirements into robust and efficient software solutions.
Lead software integration and validation on target platforms, including troubleshooting and system bring-up.
Contribute to the development and improvement of software infrastructure and platform-level capabilities.
Work closely with Hardware, Algorithms, and System Engineering teams within a multidisciplinary R&D environment.
Collaborate with relevant stakeholders to drive tasks and projects forward efficiently.

This is a unique opportunity to join a company at a pivotal growth stage and help shape its products, culture, and future.

DART is an autonomous counter-drone system: a standalone system and a radar-cued ground station launch small interceptor drones that acquire an airborne target with a thermal seeker and defeat it by direct impact. The interceptor is built on a COTS high-agility racer platform, with Betaflight closing the inner rate loop and a mission computer running perception and outer-loop guidance.

You will own the two disciplines that determine whether the interceptor actually hits: guidance and control law design, and the simulation environment used to develop, validate, and regression-test those laws before anything flies. This is a hands-on leadership role - you are expected to write and tune code, sit in front of flight logs, and stand in the field on test days, while also setting technical direction for a small team.

Key Responsibilities
Own outer-loop guidance (image-based thermal aim, pursuit/proportional-navigation, latency-compensated LOS, and throttle management) and manage end-to-end latency and stability budgets.
Implement and tune controllers (from PID/PI to adaptive/MPC), define flight controller interfaces (MSP/CRSF/SBUS injection), and govern the flight-mode state machine, failsafes, and safety envelope.
Deliver the 6-DOF simulation product (interceptor/target dynamics, thermal seeker), maintain SIL/HIL rigs for unmodified production code, validate models against flight data, and run automated regression suites and KPIs.
Lead and mentor the control and simulation team, set test-progression gates (sim to full-envelope flight), collaborate closely with Vision and Systems Engineering, and produce all required technical artifacts.