Full-Time
Software Engineer
Accelerator Solutions & Technologies
Posted on 11/15/2025
Meta
10,001+ employees
Global social networks and advertising platform
Compensation Overview
$56 - $173k/hr
Company Historically Provides H1B Sponsorship
Menlo Park, CA, USA
In Person
 Software Engineering (2) |
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- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
- Masters or PhD in Computer Science, Computer Engineering, or any other relevant technical field
- 2+ years experience in developing C++ codebase
- 2+ years experience in developing Python codebase
- Understanding of performance, benchmarking measurement, and optimization on collective communications and distributed at-scale model training
- Contribute to our developer infrastructure, including simulation and HW emulation platforms, to enable performance measurement and optimization for Meta’s in-house accelerator programs
- Understand and contribute to the collective communications library, intended to be deployed on Meta’s AI/ML superclusters
- Support networking and compute hardware acceleration techniques to improve ML inference and training model performance
- Perform architectural analysis to ensure system designs meet performance, scalability, and reliability requirements
- Implement simulation models for Meta’s Accelerator ASICs, develop and analyze various scenarios to evaluate data center performance and identify potential improvements
- Collaborate with architects and engineers to integrate simulation results into system design processes
- Use instruction set simulators to define performant firmware for Meta's training/inference accelerators
- Collaborate with hardware and firmware teams to ensure accurate modeling and simulation of accelerator functionalities
- Analyze simulation results to guide firmware development and optimization efforts
- Experience with SystemC
- Knowledge of AI/HPC hardware requirements and specifications (e.g., configuring hardware components for AI/HPC workloads)
- Understanding of the transport stack (e.g., RoCE) and its constraints particularly pertaining to interconnect and collective
- Familiarity with relevant tools, libraries, and frameworks (e.g., PyTorch, CUDA)
- Full-stack experience and understanding of AI/HPC systems, with a focus on the application layer and performance optimizations
Meta Platforms Inc. runs a family of social apps including Facebook, Instagram, and WhatsApp to help people connect, share content, and participate in online communities. It also develops virtual reality hardware and experiences through Oculus and is exploring the metaverse. Most revenue comes from advertising, with tools that let businesses target audiences using data from its large user base, plus VR product sales and digital services. The company differentiates itself by owning multiple major social platforms, offering a scalable cross-platform ad platform, and investing in VR, AR, and AI to expand digital experiences and monetization opportunities.
Company Size
10,001+
Company Stage
IPO
Headquarters
Menlo Park, California
Founded
2004
Simplify's Take
What believers are saying
- Q1 2026 revenue surges 33% to $56.3 billion from AI-enhanced advertising.
- Wisconsin approves $1B 220MW data center online in 2027 for AI expansion.
- Analysts project stock reaching $653–$792 in five years on ad and AI scale.
What critics are saying
- EU fines Meta 1.2 billion euros in 2023 for Facebook US data transfers violating GDPR.
- European Commission fines Meta 200 million euros in April 2025 for DMA data combination breaches.
- Elsevier, Cengage sue Meta on May 5, 2026, for Llama AI copyright infringement demanding damages.
What makes Meta unique
- Meta leverages AI for precise ad placement, generating $55 billion Q1 2026 revenue.
- Meta's vast platforms including Facebook, Instagram, WhatsApp enable unmatched audience targeting.
- Meta invests in Llama AI model, powering unique visual underage detection across platforms.
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Benefits
Stock Options
Company Equity
Mental Health Support
Flexible Work Hours
Company News
Opposition to data centres has become a significant issue ahead of the US midterm elections, with voters unseating local politicians who support them. Residents cite concerns over water pollution, noise, power demands and environmental degradation. In Missouri, four city council members lost their seats over supporting a $6 billion data centre. Similar ousters occurred in Independence, Missouri, and rural North Carolina. The backlash crosses party lines, prompting state legislatures nationwide to consider bills ranging from eliminating tax incentives to construction moratoriums. Despite generating substantial tax revenue and construction jobs, communities increasingly resist these developments. Virginia, which has the most data centres, is considering eliminating sales tax exemptions worth $1.9 billion. President Trump has acknowledged affordability concerns whilst supporting development, though his proposals lack enforcement mechanisms.
Meta is raising prices for its Quest VR headsets by $50–$100 (12–20%) from 19 April, citing a global surge in memory chip prices affecting consumer electronics. However, Meta's own spending priorities have contributed to this component shortage. The company plans to spend $115–$135 billion on capital expenditures this year, up from $72 billion in 2025 and $28 billion in 2023, with most investment directed towards AI infrastructure. This includes $21 billion for data centre company CoreWeave and $10 billion for an El Paso data centre. Meta's AI spending forms part of $630 billion in industry-wide AI infrastructure investment pledged for 2026, driving up prices for RAM and GPUs. Meanwhile, Meta is reportedly planning spending cuts of up to 30% for its metaverse division, which has accumulated $73 billion in losses.
Meta and Broadcom have announced a strategic partnership under which the chipmaker will provide technology supporting Meta's training and inference accelerator chips through 2029. The deal extends Meta's custom AI chip development plans as the social media giant continues to invest in artificial intelligence infrastructure.
Meta and Broadcom have announced an extended partnership through 2029 for designing Meta's custom AI accelerators. Meta has committed to deploying one gigawatt of its training and inference accelerators under the agreement. The deal expands an existing collaboration between the two companies focused on Meta's in-house chip development. As part of the arrangement, Broadcom CEO Hock Tan has agreed to leave Meta's board of directors. Broadcom shares rose 3% in extended trading following the announcement. The partnership underscores Meta's continued investment in custom silicon to power its artificial intelligence infrastructure and reduce reliance on third-party chip suppliers.
Broadcom and Meta have announced a multi-year strategic partnership to support Meta's AI compute infrastructure through 2029. The collaboration centres on Meta Training and Inference Accelerator (MTIA) chips, with an initial deployment exceeding one gigawatt as part of a sustained multi-gigawatt rollout. The partnership will deliver what the companies call the industry's first 2nm AI compute accelerator. Broadcom will provide its XPU platform for chip co-development and advanced Ethernet technologies for networking across Meta's expanding AI compute clusters. The technology will underpin Meta's deployment of generative AI features across WhatsApp, Instagram and Threads. Meta aims to deliver what it calls "personal superintelligence" to billions of users globally. Broadcom CEO Hock Tan will transition from Meta's board to an advisory role focusing on Meta's custom silicon roadmap.