Full-Time
Spice Modeling Engineer
Posted on 8/18/2025
Broadcom Limited
10,001+ employees
Semiconductor products and infrastructure software provider
Compensation Overview
$127.1k - $203.4k/yr
Irvine, CA, USA
In Person
 Electrical Engineering (2) |
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- Device physics and process technology knowledge with 16nm and newer nodes.
- Device modeling for HSPICE/SPECTRE circuit simulation, and GDS to SPICE flow in Cadence/Virtuoso.
- Device/circuit characterization with DC to RF measurement equipment.
- Automation skills for data-analysis and lab equipment.
- EE's with MS + 10 years or Ph.D + 7 years are ideal. Engineers with basic qualifications in Materials Science & Physics possessing the needed technical experience are also encouraged to apply.
- Excellent communication and presentation skills needed to work with a world-wide design engineering community are needed.
- Work on advanced silicon technology projects involving device modeling concepts, measurement automation, data collection and analysis, and GDS to SPICE design flows for silicon correlation using custom process characterization and modeling test-chips.
- Layout experience with device modeling test-structures would be beneficial.
- Engineers with basic qualifications in Materials Science & Physics possessing the needed technical experience are encouraged to apply.
Broadcom designs and sells semiconductors and infrastructure software for data centers, telecom networks, and consumer devices. Its semiconductors include processors, switches, storage controllers, and networking chips; its software portfolio includes DX Unified Infrastructure Management for observability across traditional and cloud environments. The company differentiates itself by offering a large, integrated portfolio that combines high-performance hardware with enterprise-grade software for a wide range of customers. Its goal is to help customers build fast, reliable, and scalable IT infrastructure at scale.
Company Size
10,001+
Company Stage
IPO
Headquarters
Palo Alto, California
Founded
2005
Simplify's Take
What believers are saying
- Q2 AI revenue guidance of $10.7B implies 140% YoY growth, accelerating adoption.
- $35B private credit financing from Apollo and Blackstone funds custom chip production.
- 56% of organizations plan private cloud AI inference, driving VCF 9.1 demand.
What critics are saying
- Microsoft commits only 40% chip purchases for OpenAI partnership, creating $18B exposure.
- Nvidia launches competitive custom silicon, eroding Broadcom's differentiation and margins.
- TSMC raises wafer prices 10-15%, compressing Broadcom AI chip gross margins 300-500bps.
What makes Broadcom Limited unique
- Custom AI chips for Google, Meta, Anthropic, OpenAI reduce hyperscaler dependence on Nvidia.
- VMware Cloud Foundation 9.1 cuts AI server costs 40% and Kubernetes expenses 46%.
- Supports AMD, Intel, Nvidia hardware, enabling multi-vendor private cloud AI deployments.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
401(k) Company Match
Employee Stock Purchase Plan
Employee Assistance Program
Paid Vacation
Paid Sick Leave
Paid Holidays
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↑ 0%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.
A Motley Fool survey found that 41% of investors believe AI stock prices have reached speculative levels and are likely in a bubble. However, recent financial results from leading AI hardware companies suggest otherwise. Nvidia's sales rose 73% to $68.1 billion in Q4 2026, with non-GAAP earnings per share up 82%. TSMC's earnings increased 35% and revenue jumped 21% to $33.7 billion in Q4 2025. Broadcom's sales grew 29% to $19.3 billion, with non-GAAP earnings per share rising 28% in Q1 2026. Each company holds dominant market positions: Nvidia controls 86% of the AI data centre processor market, TSMC manufactures 70% of the world's processors, and Broadcom is estimated to hold 60% of the application-specific integrated circuit market by next year.
Nvidia and Broadcom, two leading AI computing companies, have delivered strong returns in 2025, with Nvidia up 36% and Broadcom rising over 50%. Despite these gains, both companies continue to show robust growth that suggests further upside potential. Nvidia dominates the GPU market, whilst Broadcom specialises in custom AI chips for standardised workloads. In its latest quarter, Broadcom's AI semiconductor revenue surged 106% to $8.4 billion, with management projecting its custom AI chips business will generate $100 billion or more by the end of 2027. Nvidia reported 73% growth in its most recent quarter, with management forecasting 77% growth for the next period. The strong performance from both companies reflects sustained demand for AI computing infrastructure.