EFA Network Software Engineer 1 - Annapurna Labs
About the job
- Bachelor's degree or above in computer science, computer engineering, or related field
- Strong programming skills in C (coursework, projects, or internship experience)
- Familiarity with systems programming concepts (memory management, performance optimization, Linux)
- Experience with source control (Git), code reviews, and build processes (internship experience counts)
- Write the highest-performing code in C for multiple open source projects supporting EFA, such as Libfabric and Open MPI
- Work with multiple teams in the stack to invent new APIs for the latest concepts in networking in the cloud
- Dive deep into how your customers are doing collectives and messaging at high bandwidth and low latency
- Provide expert-level support to some of the biggest names in AI in the world
- Start from the needs of your customer and invent new ways of cutting the occupancy of the software stack for EFA
- Get peers and stakeholders on board with excellent written designs
- Write comprehensive tests to drive the development of new features and guard against regressions
- Work with our ML Infrastructure team to see your products perform on 100s and 1000s of top-end machine clusters
- Contributions to open source projects (Libfabric, Open MPI, or similar)
- Coursework or experience in computer networking (protocols, latency optimization, distributed systems)
- Experience writing performance-critical code with a focus on minimizing instruction count and occupancy
- Familiarity with HPC or ML infrastructure concepts
- Experience with the full software development lifecycle including testing and operations
About the company
Amazon operates a global e-commerce platform with a large online marketplace that connects consumers to both direct sales and third-party sellers across many product categories. It earns money from product sales and marketplace fees, Amazon Prime subscriptions, and AWS cloud services, plus a large Amazon Associates affiliate network. The platform combines fast shipping, streaming, cloud computing, and digital services to reach customers across numerous countries. Its goal is to be the world’s most customer-centric company by offering convenient access to a wide range of products and services.
Company Size
10,001+
Company Stage
IPO
Headquarters
Seattle, Washington
Founded
1994
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Simplify's Take
What believers are saying
- AWS grew 37% in Q2 2026, driven by accelerating AI demand.
- Advertising revenue rose 26% in Q2 2026, widening Amazon's profit engine.
- Amazon bought the Lincoln Heights campus in October 2026 to expand same-day delivery.
What critics are saying
- January 2026 layoffs reached 30,000 corporate jobs, signaling deeper automation-driven restructuring.
- Seattle officials approved a one-year AI data-center moratorium after Amazon layoffs and backlash.
- Project Aurelian and $220 billion capex strain cash flow after $7.6 billion free-cash-flow deficit.
What makes Amazon unique
- Amazon pairs e-commerce, AWS, ads, and logistics at global scale in 2026.
- October 1, 2026, Calvert Cliffs deal secured 690 megawatts for AWS expansion.
- Project Aurelian targets 95% of U.S. ZIP codes without USPS dependence.
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Benefits
Flexible Work Hours
Company Equity
Growth & Insights and Company News
6 month growth
↑ 2%1 year growth
↑ 2%2 year growth
↑ 1%Amazon has purchased two buildings totalling approximately 500,000 square feet at a former Forever 21 campus in Lincoln Heights, Los Angeles, for $146.2 million. The e-commerce giant acquired Buildings 2 and 3 at the 39-acre site on Mission Road, though its plans for the space remain unclear. The acquisition supports Amazon's expansion of same-day delivery operations, with plans to grow its network to over 1,000 locations by 2031. The campus is within 15 miles of more than 5.7 million people. Meanwhile, LA28, the 2028 Summer Olympics organizer, has leased the site's third building, a 667,000-square-foot flex office space, for 28 months. Sellers Newland Capital Group and Related Fund Management acquired the entire property last summer for $120 million.
Goldman Sachs warns that the AI stock rally hinges on hyperscalers demonstrating accelerating cloud revenue growth this earnings season. The firm expects year-over-year cloud growth to increase from 48% in Q2 to 55% in Q3 amongst Amazon, Google, Microsoft, and Oracle. Goldman strategist Ben Snider emphasised that continued signs of AI capital expenditure monetisation will be crucial for both hyperscaler performance and future capex growth outlook. Micron provided an early positive signal last week, beating sales and profit forecasts driven by AI demand. The memory chipmaker added approximately $43 billion in sales compared to the year-ago quarter, with executives projecting tight capacity and high chip prices through 2028.
Amazon, valued at $2.7 trillion, currently trades 12% below its peak as of 30 September, presenting what appears to be an attractive entry point for investors. The stock's price-to-earnings ratio stands at 20.1, approaching its July low of 18.2. The company expects $828 billion in net sales this year. Its growth drivers include its e-commerce marketplace, digital advertising revenue which grew 26% year-over-year in Q2, and Amazon Web Services, which is seeing accelerating growth from artificial intelligence demand. Despite Amazon's market dominance across multiple industries, The Motley Fool's Stock Advisor team notably excluded it from their current list of 10 best stock picks for investors.
Ed Zitron warns that private credit funding AI data centres represents a "brewing crisis" as borrowing costs rise and project delays mount. His comments come as Amazon considers moving $8bn of Nvidia chips into an investor-funded vehicle, then leasing them back. Goldman Sachs tallies $88bn of lower-rated AI-related borrowing this year. CoreWeave reported $35.6bn of debt as of 30 June, having relied heavily on private credit including an $8.5bn facility anchored by Blackstone Credit & Insurance. Zitron argues that delays in getting data centres online increase interest costs, creating cash flow pressure. He notes that rising AI demand may worsen financing problems by requiring more compute and capital. Anthropic's draft IPO prospectus showed at least $518bn of infrastructure commitments over roughly the next decade.
Amazon has pledged to invest $1 billion in communities surrounding its AI data centres, according to Amazon Web Services head Matt Garman. The commitment aims to fund local infrastructure such as schools and improve perceptions of data centres. Amazon also announced it will no longer require non-disclosure agreements when negotiating with communities, a practice other tech companies have similarly abandoned. Some legislators had considered making such NDAs illegal. The move addresses growing community concerns about data centres' environmental impact and potential job displacement from AI. Whilst data centre construction creates temporary jobs for electricians, plumbers, and builders, these facilities require minimal labour once operational. Trade unions supporting construction workers have backed data centre development, though questions remain about long-term employment benefits for local communities after construction concludes.