aiml - sr machine learning engineer, modeling evaluation & data

aiml - sr software data engineer, evaluation

analog mixed-signal modeling software engineer

administrative assistant, hardware technology

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ai software and security engineer

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aiml - sr machine learning engineer, modeling evaluation & data Jobs in Cupertino

aiml - sr software data engineer, evaluation Jobs in Cupertino

analog mixed-signal modeling software engineer Jobs in Cupertino

analog mixed signal modeling software engineer

Apple

Apple Silicon Engineering is seeking Hardware-minded Software engineers to create innovative tools to design the next generation of Apple&rsquo;s world-leading systems-on-chip (SOCs). 
 
Apple&rsquo;s multi-billion-transistor Ax SOCs are the brain of every iPhone and iPad. The Analog Mixed-Signal circuits connect them to the physical world via complex IPs such as SERDES for data communication, PLLs for clock generation, and sensors for measuring physical quantities. 
 
Modeling Software Engineers bring a unique and versatile combination of software and hardware expertise. On their way from the designer's mind to becoming a piece of silicon, circuits take form in software. Modeling Software Engineers develop those software-representations of future hardware and then make them real. This includes both the circuits themselves, and the underlying tools to enable hundreds more designers. We use modern software design methodology and apply it to Hardware design. 
 
Description 
 
This role develops specialized software tools and simulation platforms that enable the design of analog mixed-signal circuits for Apple's custom silicon chips. You'll combine software engineering expertise with hardware knowledge to build automation frameworks, optimization algorithms, and modeling environments that help circuit designers create the physical interfaces connecting Apple's processors to the real world. The position requires strong programming skills in Python or C++ and involves working on challenging problems at the intersection of software development and hardware design.&quot;,&quot;responsibilities&quot;:&quot;Architect tools, frameworks, and simulation environments for analog design workflows 
 
Design and implement software for simulation platforms that integrate multiple simulators for analog mixed-signal IP development 
 
Develop constraint-driven placement and routing algorithms for analog circuit design. Implement software solutions that capture layout intent, matching requirements, and parasitic constraints 
 
Build scientific software packages and frameworks for hardware design automation 
 
Create custom hardware description libraries, frameworks, and domain-specific languages 
 
Develop web-based interfaces and visualization tools to enhance designer productivity 
 
Preferred Qualifications 
 
Expert-level proficiency in Python and/or C++ 
 
Strong background in object-oriented programming (OOP) and software architecture design 
 
Experience with computational geometry, constraint solvers, or optimization algorithms 
 
Knowledge of event-driven programming and system-level simulation frameworks 
 
Understanding of analog layout principles (matching, shielding, parasitics, DRC/LVS) and EDA tool APIs and file formats (LEF/DEF, GDSII, OpenAccess) 
 
Experience developing web applications (e.g., Flask, React) and designing frontend user interfaces 
 
Minimum Qualifications 
 
Bachelors of Science in Electrical Engineering. 
 
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.

Analog Mixed-Signal Modeling Software Engineer

At Apple, we work every day to craft products that enrich people's lives. If you're passionate about taking on unsolved challenges, we have a great opportunity for a results-oriented and highly motivated RTL Design Engineer. This is an exciting position in the world class Apple mixed-signal silicon design team! 
 
This role will build upon your solid foundation in digital logic circuits while introducing mixed-signal and analog circuit design and features. You will work with a variety of flows fundamental to modern silicon engineering: modeling and integrating high-performance mixed-signal and analog IPs into high-speed digital circuits, ensuring formal equivalence between custom designs and their abstract representations. This is an excellent opportunity to gain valuable experience in software methods and analysis, which are increasingly crucial across the semiconductor industry. 
 
As a member of our dynamic team, you will have the exceptional opportunity to help create the next generation of products that will delight and inspire millions of Apple customers every day. You will work to specify, design, verify, and support lab bring-up of sophisticated digital and mixed-signal circuits with signal processing capabilities. 
 
Description 
 
In this role, you will be responsible for specifying and/or micro-architecting digital and signal processing blocks in sophisticated mixed-signal circuits. You will be responsible for RTL coding of blocks specified by you or others, including implementation of DSP algorithms. You will also participate in the design verification and bring-up of such blocks by writing meaningful assertions, debugging code, and otherwise interacting with the design verification team. You will contribute to the lab bring-up of those circuits by potentially writing test scripts, analyzing lab data, proposing experiments, and validating signal processing performance.&quot;,&quot;responsibilities&quot;:&quot;RTL Design &amp; Implementation: Develop and optimize RTL code in Verilog/SystemVerilog for mixed-signal digital blocks and signal processing pipelines 
 
DSP Algorithm Translation: Collaborate with algorithm engineers to translate DSP concepts (filtering, transforms, modulation, signal analysis) into efficient, high-performance RTL implementations 
 
Design Verification: Write comprehensive assertions, unit-level testbenches, and participate in functional verification using industry-standard methodologies 
 
Integration &amp; Bring-up: Partner with cross-functional teams to integrate complex IPs, validate performance in silicon, and support lab characterization 
 
Collaborative Problem-Solving: Work effectively with analog designers, algorithm engineers, verification specialists, and system architects across disciplinary boundaries 
 
Preferred Qualifications 
 
Front-end tools expertise (Verilog simulators, linters, clock-domain crossing checkers) 
 
Synthesis, static timing analysis, and design-for-test (DFT) 
 
SystemVerilog assertions, checkers, and advanced verification techniques 
 
Scripting languages (Perl, Python) 
 
Formal verification and low-power design methodologies 
 
Hardware-software co-design and system-level optimization 
 
Hands-on DSP experience: signal processing concepts, RTL algorithm implementation, hardware optimization techniques (pipelining, parallelization, resource sharing) 
 
Intermediate to advanced GenAI proficiency: Using AI tools for SystemVerilog design, validation, optimization, and understanding GenAI capabilities/limitations in hardware design 
 
Minimum Qualifications 
 
Bachelors of Science in Electrical Engineering. 
 
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.

RTL Design Engineer

We are looking for a SerDes System Validation Engineer to lead system validation of mixed-signal SerDes IP. In this highly visible role, you will actively work within Analog-Mixed/Signal design team and participate in validation and debug of embedded circuits; collaborating with many teams to enable the world&rsquo;s premiere products. You will closely work with a hard-working group of Analog-Mixed/Signal designers working diligently to deliver hard IPs to Apple&rsquo;s products while exceeding the highest expectations of quality, innovation and efficiency. 
 
At Apple, we work every day to craft products that enrich people&rsquo;s lives. In doing so, we face exciting challenges driven by the increasing complexity of SoC and PHY design. If you have strong technical fundamentals and a proven record of tackling complex problems-fueled by curiosity, a passion for learning, and a desire to enhance the impact of your work-we&rsquo;d love to hear from you. 
 
If you thrive on understanding the bigger picture while diving deep into the details to innovate and find elegant solutions. You enjoy collaborating with diverse teams to achieve extraordinary results, maintaining a strong team spirit even when facing tough challenges. Most importantly, you care about society and demonstrate leadership through your commitment to meaningful causes. 
 
We have an opportunity for a forward-thinking and especially hardworking system validation engineer with strong background in high-speed serial links. As a member of our dynamic team, you will have the rare and rewarding opportunity to work on upcoming products that will surprise and delight millions of Apple&rsquo;s customers every day. 
 
And all of this while enjoying a great culture where you own your career. 
 
Description 
 
Ownership of SerDes system bring-up, validation and debug. This will involve a SerDes bring up in system environment, verifying basic operations, analyzing robustness and margins in system. 
 
Work with design teams to understand the architecture and define DFT needs to help enhance testability and first-time silicon success. 
 
Be involved in mixed-signal verification tasks to better understand the SerDes operation and interaction with higher level control logic. 
 
Preferred Qualifications 
 
Able to think outside of the box and come up with creative solutions for system validation. 
 
Knowledge of system level considerations e.g. ESD requirements. 
 
Very knowledgeable about and experienced with common high-speed SerDes protocols (e.g., PCIe, USB, UCIe, OIF, etc.). 
 
Experience with system bring-up of high-speed serial links, lab testing, and defining equipment needs. 
 
Very knowledgeable in scripting (e.g. python, C, Matlab) for automation of validation efforts. 
 
Experience with system level S/W setup. 
 
Experience in mixed-signal circuit pre-silicon verification and ability to closely work with circuit design team. 
 
Knowledge of DFT to aid in the system validation. 
 
Experience in leading mixed-signal SerDes system validation. 
 
Experience with silicon bring-up, debug and production ramp. 
 
Knowledge of SerDes design and architecture including CDR and equalization. 
 
Knowledge of with Tx/Rx equalization techniques and adaptation. 
 
Knowledge of link jitter budget for high-speed serial links and key block level requirements. 
 
Knowledge of ADC based links and equalization techniques. 
 
Familiarity with PCB design and specifications. 
 
Strong communication, teamwork and problem-solving skills. 
 
Proven track record of delivering under difficult debug and validation scenarios. 
 
Minimum Qualifications 
 
Minimum requirement of a bachelors degree. 
 
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.

SerDes System Validation Engineer

Apple&rsquo;s Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal processing, and emerging generative AI techniques. Our team has delivered impactful features including heart rate notifications, ECG, blood oxygen, sleep apnea notifications, and overnight vitals to millions of Apple Watch users. 
 
Description 
 
This role is ideal for an engineer who enjoys moving quickly from idea to prototype to product, creatively overcoming data limitations, and applying new tools to multi-modal sensor fusion problems in health and wellness. You will work across the full algorithm lifecycle including data strategy, modeling, evaluation, optimization, and deployment.&quot;,&quot;responsibilities&quot;:&quot;Develop and validate ML and GenAI-driven algorithms for health sensing applications from concept through productization 
 
Prototype and compare multiple approaches using real and synthetic data to accelerate algorithm development 
 
Design experiments and evaluation methodologies to quantify performance and guide algorithm improvements 
 
Optimize algorithms for robustness, efficiency, and on-device deployment constraints 
 
Work cross-functionally with user studies, hardware, software, and product teams to bring algorithms into product 
 
Analyze failure modes, quantify tradeoffs, and drive data-driven algorithm improvements 
 
Preferred Qualifications 
 
Experience developing algorithms for physiological sensing using multi-modal data 
 
Familiarity with on-device ML frameworks or resource-constrained optimization 
 
Experience working with incomplete, noisy, or limited datasets 
 
Background in experimental design and statistical validation 
 
Experience with distributed or cloud-based ML workflows 
 
Experience accelerating development through simulation, synthetic data, or creative data augmentation approaches 
 
Self-driven, curious engineer comfortable taking ambiguous sensing problems from concept to working solutions 
 
Minimum Qualifications 
 
Bachelors degree in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or related field, or equivalent industry experience. 
 
Strong foundation in machine learning, statistics, signal processing, or applied mathematics for real-world sensing problems 
 
Experience applying modern AI techniques, including generative AI and agentic AI, to accelerate algorithm development, data generation, and performance evaluation 
 
Proficiency in Python for algorithm development and optimization 
 
Demonstrated ability to rapidly prototype, evaluate multiple approaches, and iterate based on experimental results 
 
Experience owning algorithm development from early exploration through validation and integration 
 
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 $139,500 and $258,100, 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

At Apple, we blend world-class hardware, software, and services to produce a tight ecosystem of products used by billions of people around the world. 
 
Machine Learning and AI models are integrated throughout our ecosystem to enhance the user experience. Ensuring a delightful end to end user experience requires well-thought out data curation, rigorous evaluation methodology, and a high signal north star metric. 
 
Guiding feature development across the entire product life cycle requires partnering closely with modeling teams, engineers, design, and others. At Apple&rsquo;s scale, it&rsquo;s paramount that methods scale across platforms, user-model mediums, and languages. 
 
Description 
 
Advance the performance of Apple Intelligence Large Language Models, across Apple platforms, languages, and modalities. 
 
Advise the data training and product roadmap for Foundation Models. Source novel datasets and run ablation studies to inform training hill-climbing. 
 
Identify high signal relevant public benchmark datasets to guide model development. Prototype and productionalize LLM-based applications to improve model development life cycle. 
 
Design detailed evaluation methodologies in close partnership with engineering and product teams to support critical go/no-go decisions. 
 
Develop and evangelize robust metrics for hillclimbing. Regularly present to partner teams and executive sponsors, both at a technical and high level. 
 
Preferred Qualifications 
 
Strong communication skills and experience persuading both technical audiences and high level executive audiences. 
 
Passion for Apple products. 
 
Minimum Qualifications 
 
Bachelors degree and 7+ years of work experience in Data Science, Machine Learning, or Engineering. 
 
Experience training and evaluation LLMs. 
 
Strong intuition for metrics, including their strengths and shortcomings. 
 
A track record of positive impact on shipped products. 
 
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 - Sr Machine Learning Engineer, Modeling Evaluation & Data

In this position, the candidate will be working for the Hardware Validation Engineering (HVE) team on post-Silicon hardware system validation of next generation Mac systems. Our Engineering Team is responsible for architecting methods to test new system hardware with the macOS environment to catch issues early in the hardware life cycle. You will be a key technical and logistical contributor and will utilize your in-depth data analytic skills to help provide insight into Hardware behaviors related to Silicon and System performance, power, temperature and fault / error issues. 
 
Description 
 
As a Data Scientist / Analyst within the Hardware team your job responsibilities will include: 
 
Analyze large-scale hardware telemetry including power rails, thermal sensors, Power Silicon and SoC counters and performance logs, and stress-test measurements etc. 
 
Apply statistical modeling and ML techniques to identify anomalies, drift, hardware degradation patterns, and emerging failure signatures. 
 
Develop feature extraction pipelines tailored to silicon behavior-examples: rate-of-change of thermal zones, correlation of voltage droops with workload transitions, PMU-based bottleneck signatures. 
 
Build predictive models that estimate performance/power deviations, reliability risks, or stress-induced failures. 
 
Create clear, high-signal visualizations (e.g., multi-axis time-series overlays, workload-power envelopes, thermal gradients, event timelines) to support hardware debug and performance analysis. 
 
Automate root-cause discovery workflows using statistical correlations, temporal pattern detection, clustering of abnormal runs, and hardware-aware signal decomposition. 
 
Work closely with silicon design, system validation, and performance engineering teams to turn data insights into actionable design or validation recommendations. 
 
Continuously refine modeling and feature engineering methods as new hardware blocks, sensors, counters, and test modes become available. 
 
Data Extraction, Parsing and Storage own the pipeline for extraction and and storage into Databases and the structure. 
 
Preferred Qualifications 
 
Experience with dashboard platforms (Grafana, InfluxDB, Plotly Dash, Tableau). 
 
Familiarity with test automation data, debug logs, or hardware lab measurement tools. 
 
Experience in product validation, reliability, performance characterization, or silicon bring-up. 
 
Minimum Qualifications 
 
Bachelor&rsquo;s degree in Computer Engineering, or Computer Science. 
 
Data Science / Statistical Expertise: Ability to handle asynchronous, high-frequency hardware telemetry and create anomaly detection based algorithms. 
 
Programming &amp; Tools: Python skills (Pandas, NumPy, SciPy, Scikit-learn, Matplotlib, Plotly). 
 
Ability to write clean, reproducible analytical scripts for large datasets. SQL and experience working with validation data warehouses. 
 
Visualization Skills: Must be comfortable creating custom plots and interactive exploratory visualizations using Python and other analytical tools. 
 
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.

Software Development Engineer - Data

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds virtual platforms &mdash; full-system C++ and SystemC models of these custom SoCs &mdash; that let software teams start development months before silicon arrives. For Trainium3, our virtual platform enabled running a full training workload within 12 hours of first silicon. We're looking for a software engineer to build and own the models and infrastructure that make this possible. 
 
What you'll do: 
<ul><li>Build and own functional models of SoC subsystems that integrate into our full-system virtual platform, used by firmware, driver, runtime, and application software teams</li><li>Design models for usability and performance &mdash; your customers are software engineers who need to run real workloads on your platform efficiently</li><li>Develop and improve the virtual platform infrastructure: QEMU integration, simulation performance, build and release tooling, and customer-facing documentation</li><li>Work with software teams (your primary customers) to understand their workflows, debug issues on the platform, and shape the model to maximize their productivity</li><li>Drive simulation performance improvements so the platform can handle increasingly complex workloads at scale</li><li>Contribute to model architecture decisions &mdash; choosing the right level of abstraction and fidelity for each subsystem based on customer needs</li></ul> 
Why this role is interesting: 
<ul><li>You'll own a product that software teams across AWS depend on &mdash; they literally can't start development without your virtual platform</li><li>The engineering challenges are genuinely interesting: full-system simulation, multi-subsystem integration, QEMU development, performance optimization at scale</li><li>You'll see the direct impact of your work when software teams hit the ground running on new silicon</li><li>As the team grows, there's a path into architectural modeling &mdash; using the platform to explore design alternatives and influence chip architecture</li><li>Small team, startup pace, big impact inside AWS's custom silicon org</li></ul> 
You will thrive in this role if you: 
 
<ul><li>Have built functional models, virtual platforms, or system-level simulations for SoCs, ASICs, GPUs, or CPUs</li><li>Think of yourself as a software engineer first, with deep domain knowledge in chip architecture</li><li>Are comfortable in C++ or SystemC, and familiar with Python for tooling</li><li>Care about your customers' experience &mdash; you think about usability, documentation, and reliability, not just model accuracy</li><li>Are interested in expanding into performance or architectural modeling as the team scales</li><li>Enjoy working on a small, high-impact team where you own significant pieces of the stack</li></ul> 
No ML background needed. You'll learn the ML accelerator domain on the job. 
 
This role can be based in Cupertino, CA or Austin, TX.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Experience programming languages such as C/C++, Python, Java or Perl</li><li>2+ years writing functional models, virtual platforms, or system-level simulations for hardware (SoCs, ASICs, GPUs, CPUs)</li><li>Familiarity with SoC, CPU, GPU, and/or ASIC architecture and micro-architecture</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Experience developing for or integrating with QEMU</li><li>Experience with SystemC, TLM, or transaction-level modeling</li><li>Experience building simulation infrastructure, CI pipelines, or release tooling</li><li>Familiarity with Modern C++ (20 and beyond)</li><li>Experience with PyTest, GoogleTest, or similar test frameworks</li><li>Experience with multi-threaded programming</li><li>Familiarity with firmware, driver, or runtime software development</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>

Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS

Explore 77+ Analog mixed signal modeling software engineer in Cupertino this April. Find roles across top companies and apply now to boost your career.