招聘
Sr Software Development Engineer - Silicon Development Infrastructure , ML Silicon Infrastructure

Sr Software Development Engineer - Silicon Development Infrastructure , ML Silicon Infrastructure
Austin, TX, USA
·
On-site
·
Full-time
·
1w ago
We're seeking a Senior Silicon Software Development Infrastructure Engineer to architect, build and operate the infrastructure that accelerates silicon development at Annapurna Labs. In this role, you'll design and deliver the platforms, tooling, and automation that enable our chip design teams to iterate faster, validate more thoroughly, and bring transformative silicon to market. You'll work at the intersection of cloud infrastructure, high-performance computing, and electronic design automation—building systems that directly impact AWS's ability to innovate in custom silicon.
This is a unique opportunity to shape infrastructure that supports chip development while working with world-class engineers across hardware, software, and operations disciplines.
Key job responsibilities
Customer-Obsessed Infrastructure Development:
- Partner directly with silicon design, verification, emulation, formal verification, and software teams to deeply understand their development workflows, pain points, and iteration cycles.
- Build customer-facing tooling including command-line interfaces, REST APIs, and automation services that eliminate manual toil and reduce time-to-results
- Gather continuous feedback from internal customers and rapidly iterate on solutions. Benchmark infrastructure based on silicon development workflows to provide internal customers with the optimal resources for silicon development.
Own End-to-End Platform Delivery:
- Design, implement, and operate cloud infrastructure (AWS preferred) and high-performance computing clusters using schedulers like Slurm
- Build and maintain CI/CD pipelines for infrastructure-as-code, container images, service deployments, and cluster configuration changes with comprehensive testing, staged rollouts, and safe rollback mechanisms
- Take full ownership of platform reliability, performance, and cost efficiency—from initial design through production operation and continuous improvement
Deliver Results Through Automation and Observability:
- Develop data pipelines that ingest metrics, logs, and workflow results from distributed systems
- Design and operate databases that capture workflow metadata, job outcomes, and resource utilization patterns
- Build dashboards and alerting systems that surface actionable insights on efficiency, utilization, reliability, and cost trends
- Establish monitoring, incident response processes, runbooks, and documentation that enable operational excellence
Invent and Simplify Systems:
- Identify opportunities to simplify workflows and reduce complexity in silicon development infrastructure
- Design pragmatic, scalable solutions that balance immediate needs with long-term maintainability
- Challenge assumptions and propose innovative approaches to infrastructure problems, always asking "what's the simplest thing that could work?"
- Build reusable abstractions and platforms that eliminate repetitive work across multiple teams and chip programs
A day in the life
As a Senior Software Development Engineer at Annapurna Labs working on silicon infrastructure, you'll start your day investigating any anomalies in job completion rates or resource utilization. You might spend your morning collaborating with a design verification team to optimize their regression workflows, identifying bottlenecks in their CI pipeline and proposing architectural improvements that could reduce iteration time by hours.
In the afternoon, you could be designing a new API that abstracts license server complexity for emulation teams, or implementing autoscaling policies for a Slurm cluster that needs to handle unpredictable workload spikes while optimizing costs. You'll participate in architecture reviews, contribute to postmortems when incidents occur, and continuously refine the observability dashboards that give teams real-time visibility into their development velocity.
Throughout the day, you'll balance immediate customer needs—unblocking a team waiting for compute capacity—with longer-term platform investments that will scale across multiple chip programs. You'll write code, review infrastructure-as-code changes, and collaborate across time zones with engineers who depend on the systems you build. Every improvement you deliver directly accelerates the path from RTL to silicon.
About the team
At Annapurna Labs, your infrastructure work directly enables breakthrough innovations in custom silicon that power AWS and transform industries. You'll collaborate with world-class chip designers, verification engineers, and software developers who are pushing the boundaries of what's possible. We offer the resources and scale of AWS with the innovation culture and technical depth of a focused silicon team.
If you're passionate about building infrastructure that accelerates innovation, thrive on customer obsession and ownership, and want to see your work enable the next generation of AWS silicon—we want to hear from you.
Basic Qualifications
- 5+ years of professional software and systems development experience
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent work experience
- Strong programming skills in Python or similar languages with demonstrated software engineering best practices
- Familiarity with semiconductor development workflows and electronic design automation (EDA) tools in domains such as design verification, physical design, emulation, or formal verification
- Experience designing, building, and operating cloud infrastructure with infrastructure-as-code methodologies
- Solid understanding of networking, security, performance optimization, and distributed systems fundamentals
- Experience with CI/CD systems such as Jenkins, GitLab CI, or similar platforms
- Clear communication skills with ability to explain technical tradeoffs, propose solutions, and collaborate effectively across teams
Preferred Qualifications
- Experience with operating system-level debugging and performance optimization, including NUMA node configuration, memory topology tuning, and system resource allocation strategies.
- Experience operating AWS cloud environments at scale with deep knowledge of EC2, VPC, IAM, and related services
- Experience designing and operating high-performance computing (HPC) or high-throughput computing (HTC) clusters with workload schedulers like Slurm
- Hands-on experience with backend systems including message queues, caching layers, artifact repositories, or internal service platforms
- Knowledge of enterprise authentication systems such as Entra ID, LDAP, FreeIPA, or SSSD
- Experience with high-performance storage architectures and optimizing data movement for large-scale workloads
- Familiarity with license server management for capacity-constrained or expensive commercial toolchains
- Track record of driving operational excellence through monitoring, incident response, and continuous improvement
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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’re applying in isn’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 & AD&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, TX, Austin - 168,100.00 - 227,400.00 USD annually
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关于Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
员工数
Seattle
总部位置
$1.5T
企业估值
评价
2.9
10条评价
工作生活平衡
2.8
薪酬
3.7
企业文化
2.5
职业发展
2.3
管理层
2.1
35%
推荐给朋友
优点
Good pay and compensation
Strong benefits package
Flexible scheduling options
缺点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
薪资范围
4个数据点
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0份报告
$108,330
年薪总额
基本工资
$43,332
股票
$54,165
奖金
$10,833
$75,831
$140,829
面试经验
10次面试
难度
3.7
/ 5
时长
21-35周
录用率
20%
体验
正面 10%
中性 10%
负面 80%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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