administrative assistant, platform apps & technologies

aiml - senior machine learning engineer - data science, responsible ai and safety

aiml - sr software data engineer, evaluation

2026 spring business operation specialist + math content teacher

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ai/ml engineer, applied data science Jobs in Cupertino

ai/ml engineer, applied data science

aiml - senior machine learning engineer - data science, responsible ai and safety Jobs in Cupertino

aiml - sr software data engineer, evaluation Jobs in Cupertino

ai software and security engineer

Apple

<div>Come change the world with us! 
 
This job is about designing and building the next generation of internal AI-based software development tools for Apple, with a focus on ease of use and security. The tools we make accelerate the pace of development for tens of thousands of engineers who ship to the billions of Apple devices in the world. 
 
Description 
 
Our team cares deeply about providing Apple&rsquo;s customers with the highest standard in security and privacy on our products. We build large-scale systems that automate workflows for vulnerability discovery in Apple software. 
 
Here are examples of the kinds of projects you will be working on with us: 
 
<ul><li>Create an investigation platform a teams of malware or security analysts</li></ul> 
<ul><li>Build a developer-facing platform for automatically analyzing bugs and code reviews using AI</li></ul> 
<ul><li>Implement security analysis fuzzing infrastructure with 100k parallel nodes</li></ul> 
<ul><li>Keep business-critical systems running with maximal automation and minimal human intervention</li></ul> 

Preferred Qualifications 
 
Experience developing new projects, understanding users&rsquo; needs, and designing against that 
 
Experience designing, building, and running complex distributed systems 
 
Excellent skills in Python, Java, or Go 
 
Experience with operating services you developed, including deployment automation and rollback strategies 
 
Creative, critical and independent thinking capabilities and troubleshooting skills 
 
Effective communication of complex technical concepts 
 
Track record of shipping customer-facing services or products 
 
Passionate about engineering perfection, performance, and quality 
 
Enthusiasm for new technologies and growth 
 
Requirement for on-call rotation, which includes weekends 
 
Minimum Qualifications 
 
Bachelor&rsquo;s degree in Computer Science or 3 year&rsquo;s of equivalent practical experience 
 
5 years of experience with Python, Go, Swift, or C/C++ 
 
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 $181,100 and $318,400, 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.</div>

AI Software and Security Engineer

We're seeking an experienced AI/ML Security Engineer to serve as both a hands-on technical expert and strategic business leader in securing our artificial intelligence and machine learning systems. This dual-function role requires someone who can dive deep into technical security challenges while effectively communicating risks, strategies, and solutions to cross-functional teams and executive leadership. 
 
We offer- 
 
Opportunity to shape AI/ML security strategy at global scale 
 
Collaborative environment that values diverse perspectives and inclusive leadership 
 
Professional development budget for conferences, training, and certifications 
 
Comprehensive benefits including mental health support and accessibility accommodations 
 
Description 
 
Design and implement comprehensive security frameworks for AI/ML pipelines, from data ingestion through model deployment 
 
Conduct security assessments of machine learning deployments, identifying vulnerabilities including adversarial attacks, data poisoning, and model inversion risks 
 
Develop automated security testing and monitoring solutions for AI/ML systems at scale 
 
Lead incident response for AI/ML security events, coordinating technical remediation and stakeholder communication 
 
Establish secure MLOps practices, including secure model versioning, access controls, and audit trails 
 
Collaborate with engineering teams to integrate security-by-design principles into AI/ML development workflows 
 
Business &amp; Strategic Leadership 
 
Translate complex AI/ML security risks into business impact assessments for leadership and stakeholders 
 
Develop and present security roadmaps that align with business objectives and product timelines 
 
Lead cross-functional teams through security initiatives, fostering collaboration between engineering, legal, privacy, and product teams 
 
Establish metrics and KPIs to measure AI/ML security posture and communicate progress to executives 
 
Preferred Qualifications 
 
Advanced degree in Computer Science, Cybersecurity, or related technical field 
 
Experience with differential privacy, federated learning, or other privacy-preserving ML techniques 
 
Background in threat modeling and security architecture design 
 
Familiarity with accessibility considerations in AI/ML systems 
 
Minimum Qualifications 
 
7+ years of experience in cybersecurity with 4+ years specifically in AI/ML security 
 
Proven track record of leading both technical teams and cross-functional business initiatives 
 
Deep understanding of machine learning security threats (adversarial ML, model stealing, data poisoning, etc.) 
 
Experience with secure cloud architectures and containerization technologies (Kubernetes, Docker) 
 
Strong background in at least two programming languages (Python, Swift, C++, or similar) 
 
Experience with ML frameworks (TensorFlow, PyTorch, Core ML) from a security perspective 
 
Demonstrated ability to communicate technical concepts to non-technical stakeholders 
 
Experience with regulatory compliance in AI/ML contexts (GDPR, CCPA, AI governance frameworks) 
 
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 $181,100 and $318,400, 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.

AIML Security Engineering

Apple&rsquo;s OS Security team is looking for a motivated software engineer to design, build, and deploy world-class containment and isolation mechanisms throughout our operating systems. As part of the Security Engineering and Architecture group, you will develop the foundational technologies-including compartmentalization, mandatory access control, and robust policy engines-that ensure our platforms are resilient and never just one mistake away from compromise. Our goal is for users to feel confident that our devices have their back every time they interact with an Apple product. 
 
Description 
 
In this hands-on software engineering role, you will design robust software systems and craft secure, high-performance code, collaborating across the company with everyone from our Silicon Engineering group to our Human Interface designers. We build technology deep within macOS and iOS internals, but we also lift it up through the software stack, creating ergonomic APIs that connect world-class security engineering directly to developers and users. You will have the autonomy to invest your time into the most promising areas of research and development, seeing your work scale to protect millions of people in their daily lives. Come help us push the boundaries of pragmatic, user-focused security.&quot;,&quot;responsibilities&quot;:&quot;Design and implement state-of-the-art isolation and compartmentalization mechanisms for iOS and macOS internals. 
 
Develop and maintain label-based and mandatory access systems, alongside the sophisticated policy languages and engines that enforce them. 
 
Build secure, usable APIs that allow both first-party and third-party developers to easily adopt our containment technologies. 
 
Analyze high-level frameworks and apps to ensure our security models apply pragmatically across the entire system, while operating mostly at the OS and systems programming level. 
 
Balance security, performance, and ease of use by breaking down ambitious, multi-year security goals into tangible, deployable steps. 
 
Collaborate across Apple to ensure our security technologies are not just built, but actively and correctly used by other teams to protect what matters most. 
 
Preferred Qualifications 
 
Exposure to iOS and macOS (end user, administrator, and/or developer). 
 
Involvement in open source technologies and development communities such as FreeBSD and Linux. 
 
Real world kernel and/or hypervisor programming experience. 
 
Experience designing and implementing security policy languages. 
 
Minimum Qualifications 
 
BS in Computer Science or equivalent experience/skills in systems programming and security. 
 
Strong C and low-level systems programming skills. 
 
Understanding of operating system internals (macOS, iOS, BSD, or Linux). 
 
Ability to navigate and understand code up and down the software stack (comfortable diving into kernel, low-level userland, framework, and application code). 
 
Familiarity with past, current, and emerging security exploits and mitigation techniques. 
 
Demonstrated readiness to balance concurrent priorities, manage technical debt, and deliver on tight schedules. 
 
Excellent partnership and communication skills to collaborate with a broad range of engineering teams.&quot;,&quot;internalDetails&quot;:null 
 
Pay &amp; Benefits 
 
This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this type of role at Apple in the future.

Security Software Engineer, OS Security

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. 
 
Are you passionate about taking AI from prototype to production at scale? 
 
Do you enjoy the craft of prompt engineering, retrieval optimization, and grounding? 
 
Can you build AI systems that are not just impressive demos, but reliable production tools? 
 
The Applied Data Science team within Legal Operations is building production-grade AI for a global legal organization. The AI/ML Engineer role is central to this mission - prototyping AI solutions, then scaling them to production systems that attorneys rely on every day. 
 
Description 
 
The AI/ML Engineer builds AI capabilities from prototype to production. You will develop prompt engineering solutions, RAG pipelines, AI agents, and evaluation frameworks - starting with rapid prototypes to validate use cases, then engineering them into scalable, production-grade systems. This role requires both the creativity to explore what's possible and the rigor to build what's reliable.&quot;,&quot;responsibilities&quot;:&quot;Prototype AI solutions to rapidly validate use cases and demonstrate feasibility 
 
Scale successful prototypes into production-grade systems with reliability, monitoring, and maintainability 
 
Implement prompt engineering solutions optimized for legal use cases 
 
Build and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases and knowledge graphs 
 
Develop context engineering approaches that leverage the semantic layer for improved accuracy 
 
Implement grounding mechanisms to reduce hallucinations and improve factual accuracy 
 
Build evaluation frameworks to measure AI accuracy, relevance, and safety across use cases 
 
Integrate AI capabilities with legal workflows (CLM, matter management, eBilling) 
 
Develop AI agent solutions for automation use cases across legal operations 
 
Implement guardrails and safety mechanisms for production AI systems 
 
Collaborate with AI Architect on system design and technical standards 
 
Support AI Product Developers with APIs, integration patterns, and technical guidance 
 
Preferred Qualifications 
 
Experience with LangChain, LlamaIndex, or similar LLM orchestration frameworks 
 
Experience with agentic AI frameworks (LangGraph, CrewAI, or similar) 
 
Familiarity with knowledge graphs and GraphRAG patterns 
 
Experience with AI evaluation tools (RAGAS, DeepEval, or similar) 
 
Knowledge of legal domain and legal NLP applications 
 
Experience with guardrails and safety frameworks (Guardrails AI, NeMo Guardrails) 
 
Understanding of MCP (Model Context Protocol) or similar integration patterns 
 
Experience deploying and monitoring AI systems at scale 
 
Track record of shipping AI products that users rely on 
 
Minimum Qualifications 
 
4+ years of delivering solutions in AI/ML engineering, NLP, or related roles 
 
Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar) 
 
Experience with LLM APIs (OpenAI, Anthropic, or similar) 
 
Experience with RAG architectures and vector databases 
 
Understanding of prompt engineering techniques and best practices 
 
Experience taking AI systems from prototype to production 
 
Experience with evaluation frameworks for AI systems 
 
Supporting AI applications in production 
 
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 $172,100 and $258,600, 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.

AI/ML Engineer, Applied Data Science

Would you like to be a part of Apple&rsquo;s AI and Machine Learning org, where we encourage and create groundbreaking technology for multi-modal models with strong agent and reasoning capabilities? The Data and Machine Learning Innovation (DMLI) team is seeking a passionate Machine Learning Engineer to explore new methods, challenge existing metrics and protocols, and develop new insightful practices for real-world ML challenges. As a team member, you will work on some of the most ambitious technical challenges in the field. Your role will involve collaborating closely with our team of machine learning researchers, engineers, and data scientists. Together, you will spearhead groundbreaking research initiatives and develop transformative products designed to build for billions of users worldwide. 
 
Description 
 
As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying innovative research in foundation models to with a particular focus on audio data. This includes working across the full ML pipeline-from pre-training on large-scale unlabeled audio corpora to post-training evaluation and fine-tuning with task-specific datasets. The solutions you develop will have a significant impact on future Apple software and hardware products, as well as the broader ML ecosystem. 
 
Your responsibilities will extend to designing and developing a comprehensive multi-modal data generation and curation framework for foundation models at Apple. You will also contribute to building robust model evaluation pipelines that support continuous improvement and performance assessment. In addition, the role involves analyzing multi-modal data to better understand its influence on model behavior and outcomes. Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues. 
 
YOUR WORK MAY SPAN VARIOUS APPLICATIONS, INCLUDING: 
 
Designing self-supervised and semi-supervised representation learning pipelines, and fine-tuning strategies for tasks like speech recognition and speaker identification. 
 
Applying data selection techniques such as novelty detection and active learning across multi modalities to improve data efficiency and reduce distributional gaps. 
 
Modeling data distributions using ML/statistical methods to uncover patterns, reduce redundancy, and handle out-of-distribution challenges. 
 
Rapidly learning new methods and domains as needed, and guiding product teams in selecting effective ML solutions. 
 
Preferred Qualifications 
 
Deep understanding of multi-modal foundation models. 
 
Staying up-to-date with emerging trends in generative AI and multi-modal LLMs. 
 
The ability to formulate machine learning problems, design, experiment, implement, and communicate solutions effectively with multi-functional teams. 
 
Demonstrated publication records in relevant conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc.). 
 
Track records of adopting ML to solve cross-disciplinary problems. 
 
Minimum Qualifications 
 
Deep technical skills in one or more machine learning areas, such as computer vision, audio, combinatorial optimization, causality analysis, natural language processing, and deep learning. 
 
Strong software development skills with proficiency in Python; hands-on experience working with deep learning toolkits like PyTorch, TensorFlow, or JAX (one of). 
 
5+ years of experience developing and evaluating ML applications, demonstrating a passion for understanding and improving model/data quality.&lsquo; 
 
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.

AIML - Sr Machine Learning Engineer - Data and ML Innovation

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Our Machine Learning Acceleration (MLA) team designs and develops the SOCs that power today's AI workloads across datacenters worldwide. As an ASIC Design Methodologies and Infrastructure Engineer, you'll play a foundational role in the project by automating design flows and building large-scale solutions that accelerate silicon development and we're just getting started here at Amazon! 
 
We're looking for a strong engineer who is passionate about creating design flows and automation flows that enhance both the productivity and quality of our design team. The ideal candidate brings proven expertise in RTL design and front-end methodologies while having good software skills and a drive for improving and automating flows. In this role, you'll collaborate closely with architects, designers, verification engineers, and other cross-functional team members to refine existing design flows and introduce innovative automation solutions that streamline flows and elevate overall design quality. 
Key job responsibilities 
 
Core Responsibilities: 
 
<ul><li>Develop and implement new methodologies and infrastructure to empower design teams to operate efficiently while maintaining high-quality standards.</li><li>Enhance and build design flows to boost the overall productivity of design teams.</li><li>Collaborate with vendors to evaluate and qualify new design tools and updated tool versions.</li></ul> 
About the team 
Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago&mdash;even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help
 
 
Diverse Experiences 
Annapurna values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying. 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud. 
 
Inclusive Team Culture 
Here at Annapurna, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 
 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>7+ years of ASIC implementation, synthesis, STA and physical design in deep sub-micron nodes (16nm or smaller) experience</li><li>7+ years of digital design in communication systems experience</li><li>7+ years of full-custom analog or RF layout experience</li><li>7+ years of wireless communications systems and implementation experience</li><li>8+ years of creating and maintaining automation frameworks for Post-Silicon Flow experience</li><li>7+ years of verification in communication systems experience</li><li>5+ years of UVM, C, System C, and scripting experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Master's degree or Ph.D. degree in Electrical Engineering or related field</li><li>Experience in RTL coding and debug, as well as performance, power, area analysis and trade-offs</li><li>Experience with modern ASIC/FPGA design and verification tools</li><li>Experience with SOC bring-up and post-silicon validation</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 - 183,000.00 - 247,600.00 USD annually 
USA, TX, Austin - 159,200.00 - 215,300.00 USD annually</div>

Senior ASIC Design Infrastructure & Methodologies engineer, MLA-MI - Annapurna Labs

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Annapurna Labs stands at the forefront of hardware/software co-design, leading innovation not just within Amazon Web Services (AWS) but across the entire industry. We design and build every component of our hardware and software to create best-in-class machine learning products that accelerate customer workloads through industry leading hardware using our custom silicon solutions. If you're passionate about building the highest-performing, hardware-accelerated Machine Learning systems and want to be part of the entire journey from pre- through post-silicon development, Annapurna Labs offers an exceptional career opportunity. Join us in shaping the future of AI acceleration 
 
At the heart of AWS Machine Learning servers reside our custom Amazon-designed silicon that powers next-generation machine learning capabilities for our customers. We're seeking an experienced C/C++ engineer to join our embedded software team, where you'll develop bare metal firmware that drives neural network model execution across our custom ASIC-based ML Accelerator chips. 
 
Working at the intersection of hardware and software, you'll collaborate closely with our architecture and design teams to co-develop the firmware and custom hardware that enables machine learning within our accelerator chips. Our mission is ambitious: to democratize access to industry-leading ML infrastructure and make deep learning capabilities accessible to everyday software developers. From the ground up, you'll help build the foundation that makes this vision possible. 
 
the Annapurna Labs team operates with the agility and culture of a startup, but with the full weight of Amazon behind us and we invite you visit the link below for a glimpse inside our labs to see exactly the incredible technology and people you will work with at Annapurna Labs! 
 
https://www.aboutamazon.com/news/aws/take-a-look-inside-the-lab-where-aws-makes-custom-chips 
 
This is a fast-paced, challenging position, where you'll work with thought-leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality, and cost. We're searching for individuals who want to reach beyond what is possible today and change an industry.
 
 
No prior ML knowledge is required for this role and you will learn about the inner workings of ML and our custom ML accelerators as part of your onboarding. 
 
Key job responsibilities 
<ul><li>Software / hardware architecture and co-design</li><li>Bare metal C/C++ software development, testing, debug, and performance improvements</li><li>Test suite and infrastructure development</li><li>Developing software which can be maintained, improved upon, documented, tested, and reused</li><li>Close collaboration with RTL designers, design verification engineers, other software teams and customers</li></ul></div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><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>2+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience in computer architecture</li><li>Experience writing firmware or bare metal software using C/C++</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>

C/C++ Hardware / Software Co-Design SDE, Machine Learning Acceleration Systems

Explore 45+ Ai software and security engineer in Cupertino this May. Find roles across top companies and apply now to boost your career.