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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 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.

Our team is new, growing, and evolving quickly, and we are hiring across multiple disciplines. We work at the intersection of machine learning, hardware, and software, creating technologies that reshape how people communicate and experience the world around them in everyday life.

We are looking for someone who operates independently and leads projects, not someone who waits to be handed a task. You will be part of a development team, working closely with the central Platform Engineering group to deliver reliable cloud infrastructure, backend services, pipelines, and observability for the team's products. You will collaborate with developers and mentor other engineers along the way. This role is fully onsite.

Responsibilities
Own the CI/CD, cloud infrastructure, and operational health of your team's applications and services.
Build and operate cloud backend services, tooling, and automation in Python and Go.
Partner with the Platform Engineer to adopt shared tooling and contribute improvements back to the platform.
Design and manage cloud infrastructure as code.
Build observability (metrics, alerting, dashboards) and drive reliability and performance improvements.
Set technical direction and standards for deployment and operations within the team.

Our team is new, growing, and evolving quickly, and we are hiring across multiple disciplines. We work at the intersection of machine learning, hardware, and software, creating technologies that reshape how people communicate and experience the world around them in everyday life.

We are looking for someone who operates independently and leads projects, not someone who waits to be handed a task. You will own full stack initiatives from idea through production, collaborate with product, design, and hardware teams, and mentor other engineers along the way. This role is fully onsite.

Responsibilities
Shape the architecture and quality of our Python services and the React-based interfaces built on top of them.
Design and build data collection backends, APIs, and internal tools used by research and hardware teams.
Build and maintain desktop tooling, including Electron-based applications
Set technical direction and the standards other engineers build upon.

As a member of our ML group, you will design, prototype, and ship agentic GenAI systems used by chip design engineers to accelerate their day-to-day workflows. We are looking for a machine learning engineer who is energized by taking LLMs from "promising demo" to "depended-on tool": designing the agent loops, retrieval pipelines, and evaluation frameworks that make this transition real. Success in this role means agents that meaningfully shift how our customer teams work, backed by measurements you trust.

You will join a growing team of ML and software engineers building GenAI solutions for chip design teams. In this role, you will:

Design and build agentic systems featuring multi-agent coordination, long-horizon reasoning, tool use, and planning frameworks.
Develop end-to-end solutions, including domain-specific agents and high-performance retrieval pipelines spanning diverse data sources.
Partner with subject-matter experts on the customer teams to translate their workflows and rules of thumb into concrete agent assignments, prompts, tools, and guidelines.
Build the evaluation backbone for our agents: define success measures, curate offline golden sets, and instrument online telemetry to power feedback loops that drive fast, safe iteration with real cost and quality control.
Drive prompt engineering, model selection, and lightweight model adaptation as the workloads demand.
Collaborate closely with software engineers on the team to productionize your work, and with researchers and customers to shape what we build next.
Stay current with the rapidly evolving agentic and LLM landscape and bring promising techniques into our products with good engineering judgment.

As a member of our ML group, you will design, prototype, and ship agentic GenAI systems used by chip design engineers to accelerate their day-to-day workflows. We are looking for a machine learning engineer who is energized by taking LLMs from "promising demo" to "depended-on tool": designing the agent loops, retrieval pipelines, and evaluation frameworks that make this transition real. Success in this role means agents that meaningfully shift how our customer teams work, backed by measurements you trust.

You will join a growing team of ML and software engineers building GenAI solutions for chip design teams. In this role, you will:

Design and build agentic systems featuring multi-agent coordination, long-horizon reasoning, tool use, and planning frameworks.
Develop end-to-end solutions, including domain-specific agents and high-performance retrieval pipelines spanning diverse data sources.
Partner with subject-matter experts on the customer teams to translate their workflows and rules of thumb into concrete agent assignments, prompts, tools, and guidelines.
Build the evaluation backbone for our agents: define success measures, curate offline golden sets, and instrument online telemetry to power feedback loops that drive fast, safe iteration with real cost and quality control.
Drive prompt engineering, model selection, and lightweight model adaptation as the workloads demand.
Collaborate closely with software engineers on the team to productionize your work, and with researchers and customers to shape what we build next.
Stay current with the rapidly evolving agentic and LLM landscape and bring promising techniques into our products with good engineering judgment.

we are looking for a Field Service Engineer - Analytical Instruments.
As a Field Service Engineer, you will provide expert installation, maintenance, troubleshooting, and repair services for advanced analytical equipment.
Working with cutting-edge technology, you will deliver high-quality technical support while building strong relationships with customers across research institutions, universities, and industrial facilities.
You will diagnose and resolve complex technical issues, perform preventive maintenance, and provide user training to ensure optimal system performance and customer satisfaction.
This role offers excellent opportunities for professional growth and development within an organization dedicated to enabling our customers to make the world healthier, cleaner, and safer.
Key Responsibilities:
Install, maintain, troubleshoot, repair, and support analytical instruments, equipment, and associated systems.
Interact directly with customers and customer care representatives to coordinate and manage service activities and logistics.
Manage and complete assigned field service tasks independently and efficiently.
Diagnose technical issues using structured analytical troubleshooting and provide appropriate solutions and recommendations.
Perform preventive maintenance, corrective maintenance, system upgrades, and other technical service activities as required.
Ensure equipment is operating according to applicable specifications and customer requirements.
Ensure compliance with Scientific safety, quality, and regulatory standards.
Generate accurate, complete, and timely service documentation and reports.
Collaborate with customers to understand their technical and operational needs and provide appropriate service solutions.
Work closely with local and global technical support, application, commercial, and service teams as required.
Participate in work schedule and service planning with colleagues and management.
Identify potential customer needs and provide relevant sales leads and feedback to commercial and support teams.
Maintain and continuously develop technical knowledge of supported products, technologies, software, and related IT environments.
Participate in technical and product training as required to support current and future analytical instrument platforms.

As a member of our Physical Design group, you will take an integral part in bringing large scale SoCs to life, helping us deliver the next generation of our ground-breaking products.
You will own the physical design cycle at the partition/IP/Chip levels, including netlist to GDS implementation and verification.
Are you ready to join some of the world's leading engineers and work with state of the art design flows and process technology?
If you possess the knowledge and experience in any of the physical design domains and practices with track record of tape-outs in sub-micron technology, come join our group!


As a member of our Physical Design team in this highly visible role, you will directly own implementation and verification of design partition(s) / IPs (netlist to delivery of our final GDS) for a highly complex SoC utilizing state of the art process technology.
* Implementation - Block level PnR, floor-planning, clock, power planning and distribution.
* Verification and Analysis - Static Timing closure using commercial tools, Physical Verification as well as Electrical/Power Analysis (EM / IR-Drop / Xtalk / noise ).

As a member of our Physical Design group, you will take an integral part in bringing large scale SoCs to life, helping us deliver the next generation of our ground-breaking products.
You will own the physical design cycle at the partition/IP/Chip levels, including netlist to GDS implementation and verification.
Are you ready to join some of the world's leading engineers and work with state of the art design flows and process technology?
If you possess the knowledge and experience in any of the physical design domains and practices with track record of tape-outs in sub-micron technology, come join our group!

As a member of our Physical Design team in this highly visible role, you will directly own implementation and verification of design partition(s) / IPs (netlist to delivery of our final GDS) for a highly complex SoC utilizing state of the art process technology.
* Implementation - Block level PnR, floor-planning, clock, power planning and distribution.
* Verification and Analysis - Static Timing closure using commercial tools, Physical Verification as well as Electrical/Power Analysis (EM / IR-Drop / Xtalk / noise )

the company was founded by the team that invented one of the technologies at the heart of 5g. their next vision was to develop an iot sticker, a self-powered computing element that harvests radio frequency energy, bringing connectivity and intelligence to everyday products and packaging. this revolutionary combination of cloud and semiconductor technology is already being used by some of the worlds largest consumer, retail, food, and pharmaceutical companies to transform how products are made, distributed, sold, used, and recycled.
our investors include softbank, amazon, alibaba, verizon, ntt docomo, qualcomm, and pepsico.
were looking for a strong backend engineer to join us in building disruptive technology in the iot space. as part of our team, youll design and implement scalable management systems, solve complex problems, and shape the future of iot through innovative software solutions.

the company was founded by the team that invented one of the technologies at the heart of 5g. their next vision was to develop an iot sticker, a computing element that can power itself by harvesting radio frequency energy, bringing connectivity and intelligence to everyday products and packaging, things previously disconnect from the iot. this revolutionary mixture of cloud and semiconductor technology is being used by some of the worlds largest consumer, retail, food and pharmaceutical companies to change the way we make, distribute, sell, use and recycle products.
our investors include softbank, amazon, alibaba, verizon, ntt docomo, qualcomm and pepsico.
as a Product Manager for our cloud platform, you will be responsible for leading the development and growth of our cloud-based platform, which enables seamless connectivity, data management, and advanced analytics for our cutting-edge internet of things (iot) devices. you will collaborate closely with cross-functional teams, including engineering, design, data, and customer success, to define and execute the Product Strategy, ensuring successful delivery of innovative solutions that meet customer needs. this role requires a strong technical background, exceptional leadership skills, and a deep understanding of cloud-based platforms and iot ecosystems.
Product Strategy and vision: define and communicate the long-term Product Strategy for our cloud platform, aligning with the company's overall goals and objectives.
roadmap planning: develop and manage a comprehensive product roadmap, incorporating customer feedback, market trends, and business priorities, to guide the evolution and expansion of the platform.
requirements gathering: collaborate with customers, internal stakeholders, and market research to identify and prioritize customer needs, translating them into clear and actionable product requirements.
cross-functional collaboration: work closely with engineering, design, data, and customer success teams to ensure alignment on product vision, drive effective execution, and deliver high-quality solutions on time and within budget.
agile development: implement agile methodologies to drive product development, including iterative releases, frequent testing, and continuous improvement.
User Experience ( UX ): champion the importance of user-centric design and collaborate with product designers to create intuitive and engaging user experiences across our cloud platform.
competitive analysis: conduct regular market and competitive analysis to identify opportunities for differentiation, understand industry trends, and make informed product decisions.
stakeholder management: communicate product updates, project status, and roadmap plans to key stakeholders, including executives, partners, and customers, ensuring alignment and building strong relationships.
metrics and analytics: define key performance indicators (kpis) and success metrics, monitoring and analyzing product performance to inform future enhancements and drive data -driven decision-making.

the company was founded by the team that invented one of the technologies at the heart of 5g. their next vision was to develop an iot sticker, a computing element that can power itself by harvesting radio frequency energy, bringing connectivity and intelligence to everyday products and packaging, things previously disconnect from the iot. this revolutionary mixture of cloud and semiconductor technology is being used by some of the worlds largest consumer, retail, food and pharmaceutical companies to change the way we make, distribute, sell, use and recycle products.
as a firmware engineer, you will gain experience in system -level design and development of radio coexistence (e.g., wifi and bluetooth) in Embedded devices. you will develop a deep understanding of data structures, object-oriented design, and system architecture in an Embedded environment.

were looking for a backend engineer to build the core of our platform. this is a high-ownership role in an early-stage company, working directly with the founders and some of the strongest engineering talent in the market.
what youll do
build and own backend systems that power our ai agents and autonomous workflows.
work hands-on with cutting-edge agent architectures and applied ai, helping invent how these systems are built and used in production.
design scalable, reliable services for real customers, from data ingestion to orchestration and apis.
deliver real customer value end-to-end: take features from idea to production, see them used by customers, and iterate based on real-world impact.