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data engineer

simulation software engineer

Apple

Play a role in bringing Apple technology to the world. We are looking for a hardworking, dedicated, and results-oriented Synthetic Data Engineer. You would join a team using simulation to generate synthetic data. Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other&rsquo;s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It&rsquo;s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you&rsquo;ll do more than join something - you&rsquo;ll add something. 
 
Description 
 
As a Simulation Synthetic Data Engineer, you will help develop next-generation simulation technology powering a broad range of AI/ML efforts at Apple. You will work on highly ambitious projects that transform ideas into production tools and datasets used across the organization to develop new Apple products. 
 
We&rsquo;re looking for an engineer who is both practical and inventive-comfortable extending existing simulation frameworks, experimenting with new approaches, and iterating quickly from prototype to high-quality implementation. You will collaborate closely with engineers, technical artists, animators, and research teams to deliver scalable pipelines and compelling synthetic data. Your work will directly influence dataset quality and model performance across multiple product areas.&quot;,&quot;responsibilities&quot;:&quot;Build, enhance, and operate tools and pipelines for scenario creation, simulation execution, and generation of annotated 3D and multi-modal synthetic datasets. 
 
Design and implement prototypes, proofs-of-concept, and production systems that expand the capabilities of our simulation stack. 
 
Deliver high-quality, validated datasets to internal customers-leveraging procedural systems, generative models, scene variation tools, and diverse data sources. 
 
Partner with engineers, animators, and technical artists to transform creative intent into efficient, scalable pipelines for generating, varying, organizing, and validating scenarios. 
 
Develop tools, APIs, and reusable components that allow other teams to easily generate, manage, and automate simulation workflows. 
 
Stay current with advances in simulation, rendering, generative models, VLMs, and synthetic data in academia, industry, and at Apple; introduce new approaches where valuable. 
 
Preferred Qualifications 
 
Programming experience in C++ 
 
Experience with real-time simulation engines (Unreal, Unity, Godot, Omniverse, custom engines). 
 
Familiarity with USD, MaterialX, or other modern 3D content standards. 
 
Experience with real-time and offline rendering, ray tracing, lighting, or shading. 
 
Knowledge of physics simulation, sensor simulation, or physically-based modeling. 
 
Experience with industrial/commercial simulation tools or large-scale data pipelines. 
 
Minimum Qualifications 
 
Master&rsquo;s degree in Computer Science or related field, or equivalent practical experience. 
 
Strong programming skills in Python, with solid software engineering fundamentals. 
 
Experience with 3D graphics or game engines, including topics such as rendering, animation, scene graphs, or content pipelines. 
 
Familiarity with machine learning workflows, especially perception tasks, generative models, or VLMs. 
 
Ability to work collaboratively with cross-functional partners including engineers, artists, and researchers; strong communication skills. 
 
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.

Simulation Synthetic Data Engineer - Special Projects

Play a role in bringing Apple technology to the world. We are looking for a hardworking, dedicated, and results-oriented Animation Engineer. You would join a team building simulation art assets. Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other&rsquo;s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It&rsquo;s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you&rsquo;ll do more than join something - you&rsquo;ll add something. 
 
Description 
 
As a Senior Simulation Machine Learning Engineer, you will join an innovation-driven team advancing Apple&rsquo;s simulation and synthetic data technology to support a wide range of AI/ML initiatives. You will design, prototype, and productionize systems that generate high-quality 3D scenarios and multi-modal synthetic datasets used throughout Apple&rsquo;s ML ecosystem. 
 
We&rsquo;re looking for an engineer with deep experience, strong ML intuition, and the ability to turn ambitions into robust tools. You should be comfortable exploring new ideas, iterating quickly, and driving solutions from prototype to polished implementation. Collaboration is essential - you will partner closely with engineers, animators, technical artists, and ML researchers across the organization. You will play a key role in shaping Apple&rsquo;s next generation of AI/ML capabilities by defining how simulation data is generated, validated, and delivered at scale.&quot;,&quot;responsibilities&quot;:&quot;Design and implement systems for generating, varying, and validating 3D simulation scenarios, leveraging generative models, procedural techniques, and diverse data sources to create environments, human animation and behavior, rendering and lighting. 
 
Develop prototypes and production systems that expand our capabilities and scale across teams 
 
Partner with engineers, ML researchers, and content creators to deliver efficient, reliable pipelines. 
 
Develop tools and APIs that enable internal users to easily author, manage, and execute simulations. 
 
Debug and resolve issues across scenario generation, simulation, and data quality. 
 
Identify architectural improvements and drive long-term strategy for scenario generation and simulation-based data pipelines. 
 
Stay current with advances in world models, generative video/3D models, neural rendering, procedural content generation, and simulation technologies. Introduce promising methods into production workflows. 
 
Preferred Qualifications 
 
Familiarity with USD format and tools 
 
Experience with neural rendering, 3D generative models, learned simulation techniques. 
 
Experience guiding technical direction, influencing architecture in a software engineering team 
 
Understanding of real-time and offline rendering pipelines. 
 
Experience with animation 
 
Experience with complex industrial or commercial simulation systems or large-scale data generation workflows. 
 
Minimum Qualifications 
 
5+ years of professional experience in ML, simulation, graphics, or related fields. 
 
Strong proficiency in Python and modern machine learning techniques. 
 
Working knowledge of C++ and robust software engineering fundamentals. 
 
Experience with LLMs, VLMs, diffusion models, world models, or similar generative/modeling frameworks. 
 
Experience with 3D data, scene representations, and rendering fundamentals. 
 
Strong communication and cross-functional collaboration skills are key. 
 
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.

Senior Simulation Machine Learning Engineer - Special Projects

<div>Are you passionate about Generative AI? Are you interested in working on groundbreaking generative modeling technologies to enrich billions of people? We are the Intelligence System Experience (ISE) team within Apple&rsquo;s software organization. The team operates at the intersection of multimodal machine learning and system experiences. Our multidisciplinary ML teams focus on a broad spectrum of areas, including Visual Generative Foundation Models, Multimodal Understanding, Visual Understanding of People, Text, Handwriting, and Scenes, Personalization, Knowledge Extraction, Conversation Analysis, Behavioral Modeling for Proactive Suggestions, and Privacy-Preserving Learning. These innovations form the foundation of the seamless, intelligent experiences our users enjoy every day. 
 
We are seeking engineers experienced in building tools for training, adapting and deploying large-scale generative models. You will be working alongside a cross functional team of engineers who own ML infrastructure &amp; algorithms, data scientists, designers, safety and UX engineers. 
 
Description 
 
In this role you will have a deep expertise in ML tooling, with a passion to empower engineers across the ML stack. 
 
Responsibilities include: 
 
<ul><li>Contributing towards tools for large generative model training including diffusion &amp; autoregressive workflows</li></ul> 
<ul><li>Tools for efficient inference and hosting of models for experimentation and human feedback</li></ul> 
<ul><li>Tooling for model representation and efficient deployment on multiple HW targets incl. Apple Silicon</li></ul> 
<ul><li>Benchmarking, Analysing and Improving training and inference performance</li></ul> 
<ul><li>Integrating efficient data loading strategies and auto-eval workflows</li></ul> 
<ul><li>CI/CD of base training workstreams</li></ul> 

Preferred Qualifications 
 
Strong ML Fundamentals 
 
Experience working with large cross-functional and diverse teams. 
 
Minimum Qualifications 
 
Bachelors, Masters, or PhD in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering), with a focus on machine learning; or comparable professional experience 
 
Experienced in training / adapting LLM and Diffusion models 
 
Advanced Fluency in PyTorch 
 
Excellent programming skills and experience contributing software to large projects 
 
Experience with distributed training of large models 
 
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 $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.</div>

ML Infrastructure Engineer - Multimodal Training Tools, SIML

<div>Are you passionate about Generative AI? Are you interested in working on groundbreaking generative modeling technologies to enrich billions of people? We are the Intelligence System Experience (ISE) team within Apple&rsquo;s software organization. The team operates at the intersection of multimodal machine learning and system experiences. Our multidisciplinary ML teams focus on a broad spectrum of areas, including Visual Generative Foundation Models, Multimodal Understanding, Visual Understanding of People, Text, Handwriting, and Scenes, Personalization, Knowledge Extraction, Conversation Analysis, Behavioral Modeling for Proactive Suggestions, and Privacy-Preserving Learning. These innovations form the foundation of the seamless, intelligent experiences our users enjoy every day. 
 
We are seeking engineers experienced in building infrastructure for training, adapting and deploying large-scale generative models. In this role, you will be working with closely with a cross functional team of algorithm design and infrastructure engineers to benchmark, prototype and steer algorithmic choices to best fit our training &amp; deployment infrastructure. 
 
Description 
 
In this role you will be technically hands on, with deep subject matter expertise in ML infrastructure. 
 
Responsibilities Include: 
 
<ul><li>Training optimizations &amp; profiling targeting vision/language pre-training</li></ul> 
<ul><li>Researching training recipes for effective scheduling of multimodal training workloads</li></ul> 
<ul><li>Experimentation &amp; tooling for post-training ablations including reward modeling, distillation and prompt optimization</li></ul> 
<ul><li>Coordinating with post-training algorithm owners for analyzing quality / performance tradeoffs of downstream capabilities</li></ul> 
<ul><li>Ablations involving optimization aware fine-tuning</li></ul> 

Preferred Qualifications 
 
Strong ML Fundamentals 
 
Experience working with large cross-functional and diverse teams. 
 
Minimum Qualifications 
 
Bachelors, Masters, or PhD in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering), with a focus on machine learning; or comparable professional experience 
 
Experienced in training / adapting LLM and Diffusion models 
 
Advanced Fluency in PyTorch 
 
Excellent programming skills and experience contributing software to large projects 
 
Experience with distributed training of large models 
 
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>

Senior ML Infrastructure Engineer - Training Algorithms, SIML

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other&rsquo;s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It&rsquo;s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you&rsquo;ll do more than join something - you&rsquo;ll add something. 
 
Siri&rsquo;s Runtime Platform team is looking for a resourceful software engineer to develop Siri&rsquo;s next generation of natural interaction platforms on Apple&rsquo;s innovative devices! You will join the team responsible for the intelligence that orchestrates how Siri interacts across the entire Apple ecosystem. We are specifically seeking an engineer to help advance the logic that ensures the most appropriate device seamlessly responds to user requests. You should be eager to do hands-on work to improve and build features that elevate overall Siri capabilities. 
 
Description 
 
You should enjoy working in a rapidly changing environment with changing priorities, be passionate about using new technologies to solve real problems and to improve the state of intelligent assistants. This role requires someone with deep expertise in developing, launching, maintaining, and extending products. A hire for this role will accelerate the team by developing standard methodologies, creating strong architecture, and delivering substantial individual technical contributions. A key focus of this position will be to create sophisticated simulation environments and evaluation datasets to model, design, and rigorously test the system policies that drive Siri's behavior. The role requires a strong ownership mindset to collaborate with cross-functional partners to identify and resolve dependencies effectively.&quot;,&quot;responsibilities&quot;:&quot;Develops Siri&rsquo;s innovative devices Architects high-fidelity simulation frameworks to model complex real-world scenarios and validate decision-making logic 
 
Creates evaluation datasets to rigorously test the system policies that drive Siri's behavior Collaborates with cross-functional partners to identify and resolve dependencies 
 
Triages issues resulting from internal live-on populations and analyzes logs to reproduce bugs and determine priority Identifies emerging trends across reported issues to improve overall system stability and performance 
 
Preferred Qualifications 
 
Expertise in design patterns 
 
Experience contributing to shipping platforms or products to production and supporting them post-launch 
 
Experience driving technical decision-making and software development from product definition to ship for multiple products 
 
Familiarity with data modeling and algorithmic policy design 
 
Minimum Qualifications 
 
BS in Computer Science or Computer Engineering or equivalent experience 
 
Strong expertise in Swift or Objective-C programming language 
 
Solid experience in software development having contributed to code, code reviews, design reviews, and maintaining production systems 
 
Strong understanding of computer science fundamentals with excellent expertise in Concurrency, Distributed Systems, and API design Experience working with large-scale data evaluation or simulation 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 $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 Engineer, Siri Runtime Systems and Interaction

Apple's System Intelligence and Machine Learning (SIML) team is seeking a senior Generative AI expert to pioneer the next generation of human-centric device interaction and multimodal scene understanding. You will be at the core of our efforts to develop multimodal LLMs that can perceive and understand complex scenes and nuanced human interactions, behaviors, and preferences. This is a unique opportunity to join a leading applied research group known for its foundational contributions to Apple Intelligence, where you will focus on the end-to-end lifecycle of generative models-from novel architecture design and large-scale training to final deployment. 
 
Description 
 
We are looking for a senior applied scientist with strong ML and Generative modeling skills who can design, train, and deploy multimodal GenAI technology. You will need to learn quickly and implement and demonstrate new user experiences using large foundation models. You will build novel and innovative technology, forge collaborations with cross-functional partners, and adapt and iterate your solutions in a dynamic environment. 
 
You will be expected to advance human interaction and scene understanding modeling across various fronts, from a system level to a core ML algorithm level. Some of the myriad challenges include understanding user behavior and preferences from interactions with the device and the environment, retrieving useful and nuanced information based on past interactions, handling deeply interleaved streaming inputs, reasoning over varying temporal contexts, developing memory systems to enable long-term adaptation, and generating semantically rich internal representations to enable open-ended downstream tasks. 
 
You will be responsible for delivering ML models and solutions that can readily be adopted in production pipelines, such as APIs for production-ready ML models and algorithms well-integrated into our training infrastructure.&quot;,&quot;responsibilities&quot;:&quot;Design, train, and deploy large-scale multimodal LLMs, owning the entire lifecycle from initial architecture to final deployment within the constraints 
 
Implement and demonstrate novel, human-centric user experiences by applying the capabilities of large foundation models 
 
Create robust, scalable ML models and APIs that can be well-integrated into Apple's production pipelines and training infrastructure 
 
Work closely with partner teams to build, iterate, and adapt innovative solutions in a dynamic, product-focused environment 
 
Preferred Qualifications 
 
Proven track record of deploying innovative ML technologies in production 
 
Familiarity with developing ML for resource-constrained devices 
 
Experience working with large cross-functional and diverse teams 
 
Minimum Qualifications 
 
PhD or Masters Degree in Computer Science, Engineering, or a related field with a focus on machine learning; or equivalent experience 
 
Strong research skills with first author publications in top tier ML conferences 
 
Expert-level knowledge of SOTA in large auto-regressive transformer models, multi-modal encoders, and representation learning 
 
Experience with multimodal large language models (LLMs) 
 
Strong programming skills in Python, maintaining ML code bases grounded in software engineering principles 
 
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.

Generative AI Applied Scientist, SIML - ISE

Do you love working on challenges that no one has solved yet? Do you like changing the game? Envision what you could do here. At Apple, we believe new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. 
 
Description 
 
This position will drive the discovery, design, and optimization of advanced battery materials using Artificial Intelligence/Machine Learning (AI/ML), including Generative AI (GenAI) techniques, and first-principles computational methods (MD/DFT). You will leverage a deep understanding of battery chemistry and physics to accelerate materials innovation for next-generation power solutions. You will work closely with internal multi-functional teams, including materials scientists, experimentalists, and cell engineers, to integrate computational insights with experimental validation to develop cutting-edge battery technologies.&quot;,&quot;responsibilities&quot;:&quot;Develop and implement AI/ML and GenAI models to predict material performance, metrics, and long-term stability based on structural, chemical, and processing parameters, and to propose novel material compositions or structures. 
 
Applying AI/ML techniques (e.g., machine learning, deep learning, statistical modeling, and Generative AI methods) to accelerate the discovery, design, and optimization of novel battery materials (e.g., cathodes, anodes, electrolytes, separators). 
 
Utilize atomistic simulation methods (e.g., Molecular Dynamics (MD), Density Functional Theory (DFT)) to understand fundamental material properties, reaction mechanisms, and degradation pathways at the atomic/molecular level. 
 
Integrate computational materials science workflows with experimental data from material synthesis, characterization, and cell testing. 
 
Collaborate closely with experimental materials scientists to design targeted experiments, validate computational predictions, and guide material synthesis efforts. 
 
Work with battery engineers to translate material-level insights into improved cell performance, lifetime, and safety, often by informing and collaborating on multi-physics models. 
 
Manage and analyze large datasets of material properties, experimental results, and simulation outputs. 
 
Travel to external vendors, suppliers, and manufacturing facilities is expected. 
 
Preferred Qualifications 
 
Four or more years of experience applying AI/ML, Generative AI, computational chemistry, or computational materials science in the field of battery materials or related energy storage systems. 
 
Deep understanding of battery electrochemistry, fundamental materials science, and degradation mechanisms for lithium-ion or other advanced battery chemistries. 
 
Proficiency with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn), with specific experience or strong understanding of Generative AI models (e.g., GANs, VAEs, Diffusion Models, Large Language Models for materials), and data analysis tools (e.g., Pandas, NumPy). 
 
Hands-on experience with atomistic simulation software (e.g., VASP, LAMMPS, Quantum Espresso, Materials Studio) for MD/DFT calculations. Familiarity with materials informatics databases and tools (e.g., Materials Project, OQMD). 
 
Experience managing and analyzing large datasets from simulations and experiments. 
 
Ability to translate complex computational results into actionable insights for experimentalists and engineers. 
 
Strong understanding of multi-physics modeling concepts and their application in electrochemical systems for battery design, performance prediction, and degradation analysis. 
 
Minimum Qualifications 
 
BS degree in Material Science, Chemical, Chemistry, Physics, Computer Science and or related 
 
Experience with applying AI/ML techniques; machine learning, deep learning, statistical modeling, Generative AI methods or related 
 
Experience programming skills in languages such as Python or related 
 
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.

Battery Modeling Engineer - AI for Materials

Explore 88+ Simulation software engineer in Cupertino this March. Find roles across top companies and apply now to boost your career.