analog mixed-signal modeling software engineer

iphone hardware systems design electrical engineer

administrative assistant, hardware technology

administrative assistant, platform apps & technologies

ai software and security engineer Jobs in Cupertino

ai software and security engineer

analog mixed-signal modeling software engineer Jobs in Cupertino

design verification engineer Jobs in Cupertino

design verification engineer

iphone hardware systems design electrical engineer Jobs in Cupertino

ml engineer

embedded systems engineer

Apple

Embedded within Apple&rsquo;s Security Engineering &amp; Architecture organization, the Data Protection team&rsquo;s mission is to ensure the confidentiality of our user&rsquo;s data at rest, by using Apple&rsquo;s hardware and software to deliver world-class storage encryption and device unlock mechanisms. At the heart of an organization that builds the most secure operating system in the world and putting it in the hands of millions of customers, the team is looking for a motivated software engineer to help push its technologies to the next level! 
 
Description 
 
You will join a team that provides operating system security foundations across all of Apple&rsquo;s innovative products, including Mac, iPhone, iPad, Apple Watch, and Apple TV. You will contribute to the entire system, from the kernel up through libraries, frameworks, and applications. As an engineer, you will have the opportunity to majorly impact the design and implementation of Apple&rsquo;s embedded and desktop operating system products, collaborating closely with all other security partners, ranging from our Silicon Engineering group to our Cloud Services group. Successful candidates will be capable of tackling challenging wide-ranging engineering problems anywhere in the software stack, determining the appropriate compromise between several often competing factors such as ease of use, performance, and of course security. 
 
In this role you will: 
 
Help define the security properties and architecture for the next-generation operating system 
 
Design and implement new approaches to user data protection, storage encryption, and trusted execution environments to help protect our customers&rsquo; data while preserving ease-of-use and enabling Apple to develop one of the richest platforms on the market. 
 
Come up with new and innovative ways of increasing security and privacy while preserving ease-of-use and improving the quality of the user experience 
 
Work cooperatively with other parts of Apple on multi-functional technologies and initiatives to enhance security 
 
Drive adoption of these technologies across the organization 
 
Preferred Qualifications 
 
Understanding of past, current, and emerging security exploits 
 
iOS and macOS exposure (end user, administrator, developer) 
 
Kernel programming 
 
Hypervisor design and architecture 
 
Involvement in open source technologies and development communities such as FreeBSD and Linux 
 
Minimum Qualifications 
 
Excellent C and systems programming skills 
 
Strong understanding of operating systems internals 
 
Industry exposure to and knowledge of OS security and applied cryptography 
 
Ability to deliver solid work on tight schedules 
 
Excellent teamwork skills. We work with all engineering teams involved in these products, and on all of their code 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $126,800 and $220,900, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Security Software Engineer, Data Protection

Amazon Web Services (AWS)

<div>
 
 Description
 
 
 
 Amazon Web Services (AWS) is building a central pipeline of Software Development Engineer (SDE) talent for anticipated roles in 2026. This requisition supports hiring across all AWS SDE positions, from fungible SDE roles to specialized engineering positions in areas including:
 
 
 <ul>
 <li>
 Embedded Systems
 </li>
 <li>
 Game Development
 </li>
 <li>
 Compiler Engineering
 </li>
 <li>
 Artificial Intelligence/Machine Learning
 </li>
 <li>
 Healthcare AI
 </li>
 <li>
 Infrastructure Services
 </li>
 <li>
 Firmware Development
 </li>
 <li>
 Cloud Computing
 </li>
 <li>
 Distributed Systems
 </li>
 <li>
 Security Engineering
 </li>
 <li>
 Video Processing and Streaming
 </li>
 <li>
 Content Delivery Network (CDN)
 
 
 </li>
 </ul>
 When you apply to this position, your profile will be considered for current and future SDE openings across AWS, including teams such as Twitch, AWS Elemental, and AWS CloudFront.
 
 
 Key job responsibilities
 
 
 
 As An AWS Software Development Engineer, You Will
 
 
 
 <ul>
 <li>
 Design, develop, and maintain efficient, reusable, and reliable code
 </li>
 <li>
 Implement complex software solutions that meet business requirements
 </li>
 <li>
 Collaborate with cross-functional teams to define, design, and ship new features
 </li>
 <li>
 Identify and resolve performance bottlenecks and bugs
 </li>
 <li>
 Participate in architecture and design reviews to provide technical guidance
 </li>
 <li>
 Contribute to continuous improvement by identifying opportunities for process enhancement
 </li>
 <li>
 Stay current with emerging technologies and industry trends
 </li>
 <li>
 Mentor junior engineers and contribute to building a strong engineering culture
 
 
 </li>
 </ul>
 A day in the life
 
 
 On a typical day as an AWS SDE, you might:
 
 
 <ul>
 <li>
 Start your morning with a team stand-up to align on priorities and address any blockers
 </li>
 <li>
 Collaborate with product managers to refine requirements for upcoming features
 </li>
 <li>
 Write code and develop solutions for complex technical challenges
 </li>
 <li>
 Review pull requests from team members, providing constructive feedback
 </li>
 <li>
 Participate in design discussions for new services or features
 </li>
 <li>
 Debug and troubleshoot production issues as they arise
 </li>
 <li>
 Attend learning sessions to stay current with AWS technologies
 </li>
 <li>
 Document your work and contribute to technical specifications
 </li>
 <li>
 Engage with customers or internal stakeholders to better understand their needs
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 Our central SDE sourcing team specializes exclusively in the SDE job family across AWS. This team of experts understands the nuances of various SDE roles throughout the organization and serves as your dedicated resource throughout the hiring process. Here's what you can expect:
 
 
 <ul>
 <li>
 An SDE sourcer will contact you for an initial screening call to understand your background, skills, and interests
 </li>
 <li>
 They will share specific details about what you need to succeed in the interview process
 </li>
 <li>
 As the right roles become available, your sourcer will stay in touch and connect you with appropriate teams
 </li>
 <li>
 Throughout the process, the central team will provide guidance and preparation support
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of non-internship professional software development experience
 </li>
 <li>
 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
 </li>
 <li>
 3+ years of building complex software systems experience
 </li>
 <li>
 2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
 </li>
 <li>
 Bachelor's degree or equivalent
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT
 </li>
 <li>
 Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
 </li>
 <li>
 Knowledge of Python and/or C++ programming
 
 
 </li>
 </ul>
 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
 
 
 USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually
 
 
 USA, NY, BROOKLYN - 158,100.00 - 213,800.00 USD annually
 
 
 USA, NY, Carle Place - 158,100.00 - 213,800.00 USD annually
 
 
 USA, NY, New York - 158,100.00 - 213,800.00 USD annually
 
 
 USA, VA, ARLINGTON - 143,700.00 - 194,400.00 USD annually
 
 
 USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually
 
 
 USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually
 
 
 USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
 
 
 
 
 Company
 
 - Amazon.com Services LLC
 
 
 Job ID: A3146673
</div>

Software Development Engineer

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring curiosity, passion, and dedication to your job and there's no telling what you could accomplish! 
 
Our Camera Incubation team is a multi-disciplinary team responsible for looking down the road and prototyping new experiences, architectures and technologies. We collaborate with design and product teams to bring new features across the Apple product line. Join us as together we explore concept prototypes, helping shape what intelligent cameras can sense, understand, and do-and the experience they create for the people who use them. 
 
Description 
 
We're looking for a creative ML Research Engineer to join our incubation team, where you'll work across the full stack, from model training and systems integration to rapid prototyping. While working on a diverse portfolio of exploratory projects, you'll bring deep practical knowledge of ML/AI architectures and multimodal sensing applied to physical spaces, paired with a design-centric approach to moving ideas from experiment to integrated system. The ideal candidate is energized by open questions, comfortable navigating ambiguity, quick to reorient when new data shifts the direction, and always able to clearly articulate the motivation, tradeoffs, and risks behind their approach. 
 
Preferred Qualifications 
 
MS or PhD with substantial applied research experience in a relevant area 
 
Ability to clearly communicate technical tradeoffs, risks, and rationale to both technical and non-technical collaborators 
 
Demonstrated comfort with ambiguity and a track record of adapting quickly when direction shifts 
 
Experience working in a research, incubation, or early-stage exploratory environment 
 
Familiarity with on-device or edge ML deployment and its associated constraints 
 
Background in robotics, embedded systems, or real-time sensing pipelines 
 
Knowledge of practical Bayesian reasoning and methods 
 
Experience with physics-based machine learning - including physics-informed neural networks, simulation-to-real transfer, or learned physical models 
 
Cross-disciplinary collaboration experience - hardware, software, design, and research 
 
Minimum Qualifications 
 
BS and a minimum of 3 years relevant industry experience in machine learning or AI engineering 
 
Familiarity with state-of-the-art architectures including transformers, reinforcement learning, and predictive inference 
 
Strong coding skills across modern ML frameworks (e.g. PyTorch), with a practical approach to tooling that includes AI-assisted development as a natural part of the workflow 
 
Proven experience building end-to-end ML pipelines, from data acquisition and preprocessing through training, evaluation, and deployment 
 
Experience architecting and integrating sensing systems that fuse multimodal signals (e.g. vision, audio, IMU, LiDAR) with ML models running on mobile, wearable, or robotic platforms 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Machine Learning Engineer, Intelligent Sensing Technology - Incubation

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS designs custom SoCs (System on Chips) that power the world's largest machine learning training and inference clusters. Our organization builds both the SoCs and the low-level software stack that brings these chips to life &mdash; drivers that expose the hardware to the OS, runtime libraries that orchestrate computation, and collective communication software that coordinates thousands of chips working together across a network. 
 
We're looking for a Systems Software Engineer who wants to work at the boundary between hardware and software in both pre-silicon and post-silicon, where the problems are hard, the debugging is deep, and the impact is enormous. 
 
Our team develops SoC models and infrastructure to enable SoC validation, accelerate system software development, and enable architectural exploration. As part of the ML accelerator systems modeling software team, you will: 
 
<ul><li>Develop and own components of our SoC models, both single-chip and at the datacenter-scale level</li><li>Debug complex hardware/software interactions across the full software stack &mdash; from register-level bring-up on functional models and emulators, to performance analysis on live silicon</li><li>Collaborate with chip architects, RTL designers, modelers, compiler engineers, and ML framework teams to co-design and validate the hardware/software interface</li><li>Contribute to the design of hardware features by providing a software perspective early in the chip development cycle</li><li>Build tooling, test infrastructure, and automation that accelerates development for yourself and your teammates</li></ul> 
Annapurna Labs, our organization within AWS, designs and deploys some of the largest custom silicon in the world. You'll work on software that runs on chips no one outside the team has seen yet, solving problems that don't have Stack Overflow answers. You'll see your code running in production on infrastructure that serves millions of ML workloads. 
 
You will thrive in this role if you: 
 
<ul><li>Are comfortable reading hardware specs and translating them into working software</li><li>Have debugged problems where the root cause could be in hardware, software, or the interface between them</li><li>Have built firmware, drivers, runtime software, or communication libraries for SoCs, ASICs, GPUs, CPUs, or FPGAs</li><li>Care about performance and have experience profiling and optimizing latency-sensitive or throughput-critical code paths</li><li>Are comfortable in C++ close to the hardware and use Python for tooling and automation</li><li>Enjoy working on a small, high-impact team where you own significant pieces of the stack end-to-end</li></ul> 
Although we are building machine learning chips, no machine learning background is needed for this role. Any ML knowledge required can be learned on the job &mdash; what matters is your ability to write great low-level software and reason about hardware. 
 
This role can be based in either Cupertino, CA or Austin, TX.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Knowledge of hardware architectures</li><li>2+ years of professional experience developing firmware, drivers, runtime software, or low-level systems software for custom hardware (SoCs, ASICs, GPUs, CPUs, FPGAs)</li><li>Experience programming in C++, Python, and/or Rust (preference for at least 2)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with collective communication libraries or distributed systems primitives (MPI, NCCL, RCCL, or similar)</li><li>Experience debugging using functional models, QEMU, FPGA, or emulators</li><li>Experience with Linux kernel development, device drivers, or bare-metal firmware</li><li>Experience building functional or performance models of SoCs</li><li>Familiarity with PCIe, DMA engines, on-chip interconnects, or network-on-chip architectures</li><li>Experience with performance profiling and optimization of latency-sensitive software</li><li>Experience with multi-threaded, multi-process, or asynchronous programming models</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually 
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually</div>

SoC Systems Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS designs custom SoCs (System on Chips) that power the world's largest machine learning training and inference clusters. Our organization builds both the SoCs and the low-level software stack that brings these chips to life &mdash; drivers that expose the hardware to the OS, runtime libraries that orchestrate computation, and collective communication software that coordinates thousands of chips working together across a network. 
 
We're looking for a Systems Software Engineer who wants to work at the boundary between hardware and software in both pre-silicon and post-silicon, where the problems are hard, the debugging is deep, and the impact is enormous. 
 
Our team develops SoC models and infrastructure to enable SoC validation, accelerate system software development, and enable architectural exploration. As part of the ML accelerator systems modeling software team, you will: 
 
<ul><li>Develop and own components of our SoC models, both single-chip and at the datacenter-scale level</li><li>Debug complex hardware/software interactions across the full software stack &mdash; from register-level bring-up on functional models and emulators, to performance analysis on live silicon</li><li>Collaborate with chip architects, RTL designers, modelers, compiler engineers, and ML framework teams to co-design and validate the hardware/software interface</li><li>Contribute to the design of hardware features by providing a software perspective early in the chip development cycle</li><li>Build tooling, test infrastructure, and automation that accelerates development for yourself and your teammates</li></ul> 
Annapurna Labs, our organization within AWS, designs and deploys some of the largest custom silicon in the world. You'll work on software that runs on chips no one outside the team has seen yet, solving problems that don't have Stack Overflow answers. You'll see your code running in production on infrastructure that serves millions of ML workloads. 
 
You will thrive in this role if you: 
 
<ul><li>Are comfortable reading hardware specs and translating them into working software</li><li>Have debugged problems where the root cause could be in hardware, software, or the interface between them</li><li>Have built firmware, drivers, runtime software, or communication libraries for SoCs, ASICs, GPUs, CPUs, or FPGAs</li><li>Care about performance and have experience profiling and optimizing latency-sensitive or throughput-critical code paths</li><li>Are comfortable in C++ close to the hardware and use Python for tooling and automation</li><li>Enjoy working on a small, high-impact team where you own significant pieces of the stack end-to-end</li></ul> 
Although we are building machine learning chips, no machine learning background is needed for this role. Any ML knowledge required can be learned on the job &mdash; what matters is your ability to write great low-level software and reason about hardware. 
 
This role can be based in either Cupertino, CA or Austin, TX.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>6+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>7+ years of professional experience developing firmware, drivers, runtime software, or low-level systems software for custom hardware (SoCs, ASICs, GPUs, CPUs, FPGAs)</li><li>Experience programming in C++, Python, and/or Rust (preference for at least 2)</li><li>Knowledge of SoC, CPU, GPU, and/or ASIC architecture and micro-architecture</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with collective communication libraries or distributed systems primitives (MPI, NCCL, RCCL, or similar)</li><li>Experience debugging using functional models, QEMU, FPGA, or emulators</li><li>Experience with Linux kernel development, device drivers, or bare-metal firmware</li><li>Experience building functional or performance models of SoCs</li><li>Experience co-designing hardware/software interfaces with architecture or RTL teams</li><li>Familiarity with PCIe, DMA engines, on-chip interconnects, or network-on-chip architectures</li><li>Experience with performance profiling and optimization of latency-sensitive software</li><li>Experience with multi-threaded, multi-process, or asynchronous programming models</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually 
USA, TX, Austin - 168,100.00 - 227,400.00 USD annually</div>

Senior SoC Systems Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS

Join Apple Maps, where our mission is to build the best map in the world. As a Data Science Software Engineer in the Maps Evaluation organization, you will be instrumental in harnessing the power of user data to strategically inform and influence critical decisions across the Maps organization. We work in a highly collaborative, fast-paced environment where you&rsquo;ll have significant autonomy to define and lead impactful projects, drive substantial change, and contribute your unique perspective to a team committed to creating something truly wonderful. 
 
Description 
 
We seek an experienced software engineer to embed in the data science team to support data science analysis. A major component is supporting prototype metrics, models, and data pipelines that are core to data science work. Additionally, this position will work to build, support, and evolve the frameworks and libraries that help data scientists create data analysis products. Part of the position is hands-on data engineering work, and another part is serving as an internal engineering consultant for data science projects in areas like computation, data access, data storage considerations, and best practices in software engineering. Additionally, you will be working across teams with other engineers embedded in data science teams, and the broader engineering teams in Maps, to contribute to common tools, platforms, and libraries.&quot;,&quot;responsibilities&quot;:&quot;Support the development of data science libraries and frameworks, guiding data scientist contributions and looking for opportunities for improvements 
 
Monitor, maintain, and improve the reliability and efficiency of data pipelines written by the team 
 
Create new data pipelines to make additional sources of data available for geospatial analyses 
 
Guide architecture and data processing decisions made by the data science team for building data products 
 
Collaborate with engineers across Maps to improve the tooling and platforms for data science and analysis 
 
Preferred Qualifications 
 
Data orchestration systems like Airflow, Dagster, or Prefect 
 
CI/CD tools like Github Actions or Travis CI 
 
Maintaining libraries to support analytical, quantitive, and statistical analyses 
 
Working with, or even embedded in, data science teams and helping to build prototypes, data pipelines, and models 
 
Helping mixed technical teams follow software engineering best practices 
 
Processing geospatial or spatiotemporal data 
 
Building front-end applications, particularly dashboards or geospatial visualization 
 
Minimum Qualifications 
 
Excellent programming skills, preferably in Python 
 
6+ Years of experience working with distributed data technologies and large-scale data processing (e.g., Hadoop, Spark, Ray, MPI) 
 
Experience with cloud-based infrastructure 
 
Strong communication and collaboration skills, especially with non-software engineering partners 
 
Bachelor or advanced degrees in Computer Science, Statistics, Physics, Operations Research, Engineering or similar quantitative domain 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Software Development Engineer-Eval Data Science

Catalyst Labs

<div>
 
 About The Job ML Engineer
 
 
 
 
 Our Client
 
 
 
 Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs.
 
 
 By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences.
 
 
 
 About Us
 
 
 
 Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that&rsquo;s deeply embedded in our clients&rsquo; recruitment operations.
 
 
 We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.
 
 
 
 Location
 
 : New York, NY
 
 
 
 Work type
 
 : Full Time,
 
 
 
 Compensation
 
 : above market base + bonus + equity
 
 
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecyclefrom conception to deployment and maintenance.
 </li>
 <li>
 Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
 </li>
 <li>
 Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
 </li>
 <li>
 Build agents capable of operating natively on real-world audio inputs.
 </li>
 <li>
 Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
 </li>
 <li>
 Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
 </li>
 <li>
 Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
 </li>
 <li>
 Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
 </li>
 <li>
 1-6 years of professional experience in ML engineering.
 </li>
 <li>
 Strong programming skills in Python (TypeScript experience is a plus).
 </li>
 <li>
 Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
 </li>
 <li>
 Familiarity with cloud environments and infrastructure (preferably AWS).
 </li>
 <li>
 Strong understanding of data pipeline design, real-time inference, and model monitoring.
 </li>
 <li>
 Excellent communication skills with the ability to engage directly with customers and stakeholders.
 
 
 </li>
 </ul>
 
 Core Experience
 
 
 
 <ul>
 <li>
 Proven experience building and deploying ML models into production environments.
 </li>
 <li>
 Demonstrated ability to own the full model lifecyclefrom data ingestion and model development to deployment and monitoring.
 </li>
 <li>
 Experience with audio-focused ML projects or similar domains involving unstructured data.
 </li>
 <li>
 Proficiency in building scalable data pipelines for model training and evaluation.
 </li>
 <li>
 Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
 </li>
 <li>
 Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
 </li>
 </ul>
</div>

ML Engineer

Explore 101+ Embedded systems engineer in Cupertino this April. Find roles across top companies and apply now to boost your career.