744 jobs for "Senior Software Engineer - Platform"

Sr. AI Inference Platform Engineer

At Apple - Seattle

Posted on Oct 15

View job Apply on company site

Software Engineer SSR - Automation & Reliability

At Salesforce - Mexico City

Posted on Oct 15

View job Apply on company site

Lead Software Engineer - Python and AI

At JPMorgan Chase - Bengaluru

Posted on Oct 14

View job Apply on company site

Software and Data Engineer - Software Engineer III- Agentic Pricing

At JPMorgan Chase - Jersey City

Posted on Oct 14

View job Apply on company site

Senior Systems Engineer - AV Sensing Design

At General Motors - Remote / Flexible

Posted on Oct 14

View job Apply on company site

R&D Senior Engineer

At Hitachi Energy - Ludvika · Vaesteras

Posted on Nov 9

View job Apply on company site

DevOps Engineer

At Appian - McLean

Posted on Nov 6

View job Apply on company site

Sr Development Engineer, Manhattan Active

At McLane - Temple

Posted on Oct 29

View job Apply on company site

Principal Software Engineer

At UKG - Pune City

Posted on Oct 21

View job Apply on company site

AI/ML Senior Engineer Embedded AI (f/m/d)

At Aptiv - Wuppertal

Posted on Oct 15

View job Apply on company site

Software Engineer , Social and Store, Unpublished R&D Product

At Riot Games - Sydney

Posted on Oct 20

View job Apply on company site

Senior Manager, AI Enablement

At Justworks - New York

Posted on Oct 30

View job Apply on company site

Staff DevOps Engineer - CI/CD, Build Automation, Edge & Robotics

At General Motors - Sunnyvale

Posted on Nov 10

View job Apply on company site

Senior Machine Learning Engineer - ML Training Infrastructure

At General Motors - Sunnyvale

Posted on Nov 9

View job Apply on company site

Sr. DevOps Engineer

At Charles Schwab - Austin

Posted on Nov 8

View job Apply on company site

Senior Dev Ops Engineer

At Charles Schwab - Lone Tree

Posted on Nov 8

View job Apply on company site

Full-stack Engineer 5 (Senior Manager, IC) Cloud Operations Resilience Engineering)

At Capital One - McLean

Posted on Nov 5

View job Apply on company site

Full Stack Engineer 5 (Senior Manager, IC, MLX Group)

At Capital One - McLean · San Francisco

Posted on Nov 1

View job Apply on company site

Senior DevOps Engineer - Security

At Zoom - Remote / Flexible

Posted on Oct 29

View job Apply on company site

Sr Software Engineer - Delivery Matching

At Uber - San Francisco · Sunnyvale

Posted on Oct 23

View job Apply on company site

Apple

Sr. AI Inference Platform Engineer

Seattle, WA$175,000 – $308,500Posted 26 days ago

Apply on company site View full job

We are looking for senior engineer to build tooling, automation, and analysis capabilities that strengthen our AI inference platform. This role will focus on developing sophisticated performance benchmarking systems, capacity projection models, and data analysis pipelines that directly inform our AI infrastructure teams and capacity planners. You'll work at the intersection of AI systems performance, distributed infrastructure, and software engineering to help the team make data-driven decisions about scaling and optimizing our inference platform.

Description

At Apple, we believe the future of AI is defined not just by models, but by the infrastructure that powers them. Our AI inference platform sits at the heart of products and experiences used by hundreds of millions of people worldwide, and we are building the systems that ensure it scales reliably, efficiently, and intelligently.

As part of our next-generation datacenter engineering team, you will play a critical role in shaping how we understand, measure, and grow our AI infrastructure. You will design and build the tooling and analysis systems that give our engineers and capacity planners a clear, real-time picture of performance across our fleet. Your work will directly influence how we invest in hardware, how we detect regressions before they reach production, and how we forecast capacity needs months in advance.

This is a high-impact, cross-functional role for an engineer who is energized by complexity, thrives on turning raw data into actionable insight, and wants to work on problems that matter at massive scale.","responsibilities":"Design and build automations to evaluate AI inference performance across hardware generations and configurations.

Develop tooling to surface performance trends, regressions, and insights to infrastructure and planning teams.

Build projection and forecasting models to support long-term capacity planning decisions.

Analyze performance and utilization data to identify bottlenecks, trends, and optimization opportunities.

Partner with AI infrastructure engineers, hardware teams, and capacity planners to deliver critical data and tooling.

Create and enhance performance analysis workflows to increase team velocity and data reliability.

Continuously improve the accuracy, coverage, and usability of performance measurement and analysis systems.

Preferred Qualifications

Experience with performance benchmarking and methodologies for AI/ML inference systems.

Familiarity with capacity planning and forecasting/projection models for large-scale infrastructure.

Experience with GPU profiling and observability tools (e.g., Nsight, other vendor-specific profilers).

Experience with data visualization and reporting tools/frameworks for surfacing performance trends to stakeholders.

Familiarity with ML serving frameworks and runtimes (e.g., Triton, TensorRT-LLM, vLLM, or similar).

Experience with CI/CD and workflow orchestration tools for building automated performance analysis pipelines.

Knowledge of cluster schedulers and orchestration platforms (e.g., Kubernetes).

Experience with metrics and logging tools (e.g., Prometheus, Grafana, Splunk).

Minimum Qualifications

BS or MS in Computer Science or related technical field.

Solid understanding of AI/ML inference architecture and the performance characteristics of serving systems.

7 or more years of experience with performance and infrastructure engineering in distributed systems.

7 years of experience coding in Python, Go, C++, or other programming languages.

Experience with automation engineering, tooling, and data pipelines to support engineering workflows.

Strong knowledge of GPU/accelerator architecture as it relates to AI workloads.

Practical statistical knowledge applicable to performance analysis and forecasting.

Excellent communication skills and ability to turn data into clear guidance for infrastructure teams and capacity planners.

Pay & 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 $175,000 and $308,500, 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

View company profile