Cupertino, CA

Engineer Jobs in Cupertino, CA

2 jobs found

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6d ago

Data Analytics Engineer

Apple Cupertino, CA

Cupertino, CA

6d ago

$147k - $272k/yr Full time Analytics Apache Airflow Big Data

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Job Description

Apple's Games App Data Engineering team is seeking a Data Analytics Engineer to transform vast gaming data into meaningful insights while prioritizing privacy and scalable design. This onsite role is based in Cupertino, CA, and you will work closely with game developers and partner teams to build analytics tools that guide leadership decisions and spotlight next generation gaming trends. The role blends software engineering with a strong data-centric mindset, emphasizing robust code and high-quality data as the primary product.

Key aspects of the position and how it operates within the team are described below.

Responsibilities

Play a significant role in shaping the strategic direction of the Apple Games App Data Engineering team.
This is a software engineering position focused on building robust, maintainable systems rather than ad-hoc scripts.
Develop software that processes dozens of terabytes of gaming and player engagement data every day, ensuring efficiency, scalability, and stability.
Treat data as the main product and ensure it remains accurate, qualitative, and well-supported by clean, manageable code.
Deliver analytics that empower Apple leadership and game developer partners with insights into player behavior, innovations, and emerging gaming opportunities.
Build analytics solutions tailored for game developers, leveraging knowledge of the third-party gaming analytics ecosystem to create best-in-class tools.
Champion world-class analytical solutions and contribute ideas, concerns, and perspectives in collaborative discussions.
Work closely with engineering, product, and partner organizations in a highly collaborative environment.
Ensure privacy is a foundational engineering requirement across all solutions, aligned with Apple's privacy principles from design to deployment.
Operate within a small, focused team where engineers tackle a broad range of problems.

Requirements

Strong grounding in software engineering principles, including algorithms and data structures.
Self-directed, proactive, and capable of creating architecture and design documents.
Ability to elicit cross-functional requirements and translate them into practical engineering tasks.
Excellent communication skills and proven effectiveness in a cross-functional environment.
Bachelor's degree in Computer Science, Engineering, or equivalent related experience.
Experience building analytics and data solutions specifically for game developers.
Familiarity with third-party analytics tools and platforms used in the gaming industry.
5+ years of hands-on experience building distributed data processing applications using Apache Spark or Apache Flink.
5+ years of programming experience in Scala (preferred) or Java.
Experience with Big data technologies such as Hadoop, HDFS, Spark, SQL, Kafka.
Proven ability to design scalable, highly available distributed systems using technologies like Kafka, Iceberg, Kubernetes, Airflow, and Cassandra.

Technologies

Apache Spark
Apache Flink
Scala
Java
Hadoop
HDFS
SQL
Kafka
Iceberg
Kubernetes
Airflow
Cassandra

Benefits

Base pay range: USD 147,400 - 272,100 annually.
Discretionary employee stock programs, including RSUs.
Employee Stock Purchase Plan with stock purchase discounts for Apple employees.
Comprehensive medical and dental coverage.
Retirement benefits.
Discounts on products and access to select free services.
Educational expense reimbursement, including tuition, for career development at Apple.
Discretionary bonuses or commission payments.
Relocation eligibility.

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6d ago

Software Engineer I - AI/ML, AWS Neuron Distributed Training

Annapurna Labs (U.S.) Inc. Cupertino, CA

Cupertino, CA

6d ago

$127k - $185k/yr Full time AWS Aws Neuron Cloud

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Job Description

Annapurna Labs (U.S.) Inc. is seeking a Software Engineer I with a focus on AI/ML distributed training. The role centers on optimizing large-scale models for AWS Trainium, implementing mixed-precision strategies, and extending training frameworks within the Neuron ecosystem, in collaboration with hardware and AWS teams. This is an onsite position based in Cupertino, CA, offering a compensation range of USD 127,100 to 185,000 per year.

Responsibilities

Contribute to designing and implementing distributed training solutions for large-scale ML models running on Trainium instances.
Extend and optimize popular distributed training frameworks within the Neuron ecosystem, including FSDP, torchtitan, and Hugging Face libraries.
Develop and optimize mixed-precision and low-precision training techniques, covering BF16, FP8, and emerging formats to boost throughput while preserving accuracy and convergence quality.
Implement precision-aware training strategies, loss scaling, and careful gradient management to ensure stability across reduced-precision formats.
Profile, analyze, and tune end-to-end training pipelines to achieve optimal performance on Trainium hardware.
Collaborate with hardware, compiler, and runtime teams to understand system constraints and unlock new capabilities.
Partner with AWS solution architects and customers to support the deployment and optimization of training workloads at scale.

Requirements

Bachelor's degree or higher in computer science, computer engineering, or a related field (or equivalent bachelor's degree).
1+ years of programming experience in at least one software language, including academic projects, internships, or research.
Experience with software development practices such as code reviews, source control, testing, and build processes.
Experience with machine learning concepts and at least one ML framework (PyTorch, JAX, or TensorFlow).

Technologies

FSDP
torchtitan
Hugging Face libraries
PyTorch
JAX
TensorFlow
Trainium
AWS Neuron
BF16
FP8

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)
Flexible Spending Accounts
Employee Assistance Program (EAP)
Mental Health Support
Adoption and Surrogacy Reimbursement

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Engineer Jobs in Cupertino, CA

Data Analytics Engineer

Software Engineer I - AI/ML, AWS Neuron Distributed Training

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