Full-Time
Licenses high-speed chip-to-chip connectivity IP
$143.5k - $266.5k/yr
San Jose, CA, USA
Hybrid
Three days on-site per week required.
Rambus designs, develops, and licenses high-speed chip-to-chip connectivity technology. Its IP powers data center servers, AI accelerators, and automotive systems, and is licensed to other semiconductor companies rather than manufactured and sold directly. The products are high-speed interfaces and security features embedded in chips, enabling fast, reliable communication between components. Rambus differentiates itself through a licensing-based model focused on advanced IP for memory, security, and high-speed interfaces across data centers, AI, and automotive markets, rather than relying on a traditional product lineup. The company’s goal is to enable high-performance chip communication at scale by monetizing its intellectual property through licensing and expanding into growing markets like data centers, AI, and automotive.
Company Size
1,001-5,000
Company Stage
IPO
Headquarters
San Jose, California
Founded
1990
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Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
401(k) Company Match
Flexible Work Hours
Hybrid Work Options
Paid Vacation
Gym Membership
Rambus recognized by Forbes as one of america's Most Successful Mid-Cap Companies for 2026. Rambus is proud to announce that Rambus has been named one of Forbes' Most Successful Mid-Cap Companies for 2026, ranking #21 out of 100 companies nationwide. This recognition highlights Rambus' sustained financial performance, disciplined execution, and continued focus on delivering differentiated semiconductor technologies that address the world's most demanding compute challenges. Each year, Forbes evaluates publicly traded mid-cap companies with market capitalizations between $5 billion and $20 billion, using data from FactSet. To qualify, companies must demonstrate positive sales growth over the past year and meet additional financial criteria. The final rankings are based on earnings growth, sales growth, return on equity, and total stock return over the past five years, with greater emphasis placed on the most recent year's performance. All data for the 2026 ranking reflects results as of December 5, 2025. Rambus' placement on this list reflects the strength of its long-term strategy and the impact of its product portfolio across memory interface chips, interface IP, and security IP solutions. As data volumes continue to grow and system complexity increases, Rambus technologies help enable higher performance, greater efficiency, and stronger security across data centers, AI systems, networking infrastructure, and edge devices. This recognition is also a testament to the people behind the technology. The Rambus team continues to innovate with purpose, working closely with customers and partners across the semiconductor ecosystem to solve real world challenges and accelerate the future of compute. Consistent execution, technical excellence, and a focus on delivering value have been central to its growth. Being named to the Forbes list reinforces its commitment to building sustainable success while advancing the technologies that matter most to its customers and the industry. Rambus is honored to be recognized alongside other high-performing companies that are shaping the future of technology and business. To learn more about the Forbes 2026 Most Successful Mid-Cap Companies list and the full ranking methodology, visit the Forbes website: https://www.forbes.com/lists/best-mid-cap-companies/ Rambus thank its employees, customers, and partners for being part of this journey and look forward to continuing to deliver innovation that drives performance, efficiency, and security in the years ahead.
Embedded World 2026: Rambus announces HBM4E controller IP for next-gen AI workloads. At Embedded World 2026 in Nuremberg, Rambus Silicon IP Division Sr. Director of Product Marketing Bart Stevens walked through the company's newly announced HBM4E Controller IP, targeting the memory bandwidth demands of next-generation AI accelerators, GPUs, and high-performance compute applications. The headline spec is 16 Gbps per pin, which translates to 4.1 TB/s of throughput per memory device. In an eight-device AI accelerator configuration, that adds up to more than 32 TB/s of memory bandwidth. Stevens framed the announcement in the context of how quickly the HBM standard has been leapfrogging JEDEC baselines from HBM3's 8 Gbps per pin to 9.6 with HBM3E, back to 8 Gbps but with 2048 pins per device in HBM4, and now scaling pin rates from 12 to 13.2 to 16 Gbps with HBM4E. "We have a couple of architectural options for our customers to choose from. It is a huge leap because it's now a doubling of capacity and performance," said Stevens. Reliability gets as much attention as raw performance. As memory density and stacking increase, thermal stress becomes a real concern. The Rambus controller includes built-in telemetry and RAS (reliability, availability, and serviceability) features that probe PHY registers for signal-integrity metrics and monitor for single-bit errors, catching degradation trends before they escalate into data loss. Stevens described this deep system visibility as a key differentiator. For customers designing in the IP, Rambus offers pre-integration and pre-validation with customer-selected PHYs, supporting both 2.5D and 3D packaging configurations. The controller supports AXI and ARM-coherent interfaces and offers options for single- or dual-controller configurations, depending on latency and burst-size requirements. Optional inline memory encryption is available for multi-tenant compute environments where data isolation is a requirement. Early-access customers are designing with the IP now, and broader availability is expected later this year. The HBM roadmap continues: Stevens noted that HBM5 drafts are in circulation, with an expected focus on data integrity as densities continue to climb.
Rambus launches HBM4E controller IP for next-generation AI memory performance. Rambus has introduced a new HBM4E Memory Controller IP, marking what the company describes as a major step forward in meeting the growing memory bandwidth demands of advanced artificial intelligence (AI) accelerators and high-performance graphics processors. The company said the controller includes enhanced reliability features to support the increasingly intensive workloads associated with next-generation AI systems. "Given the insatiable bandwidth demands of AI, it's imperative for the memory ecosystem to continue aggressively advancing memory performance," said Simon Blake-Wilson, senior vice-president and general manager of Silicon IP at Rambus. "As a leading silicon IP provider for AI applications, we are bringing the industry's leading HBM4E Controller IP solution to the market as a key enabler for breakthrough performance in next-generation AI processors and accelerators." Samsung Electronics also highlighted the importance of HBM4E as design requirements evolve. "HBM4E represents a significant milestone for HBM technology, delivering unprecedented performance for advanced AI and HPC workloads," said Ben Rhew, corporate vice-president and head of the Foundry IP Development Team. "HBM4E IP solutions will be essential for broad industry adoption, and Samsung looks forward to collaborating closely with Rambus and the wider ecosystem to drive innovation in AI." Industry stakeholders note that memory bandwidth remains a critical constraint in large language model (LLM) performance. "HBM bandwidth is one of the main bottlenecks on LLM performance, and we're excited by efforts across the industry to push it further," said Reiner Pope, co-founder and CEO of MatX. Analysts expect demand for high-density memory to continue rising as AI expands. "AI processors and accelerators need high-performance, high-density HBM memory for the massive computational requirements of AI workloads," said Soo Kyoum Kim, programme associate vice-president for Memory Semiconductors at IDC. "As the requirements of AI processors and accelerators continue their rapid rise, HBM solutions must advance apace. HBM4E IP reaching the market now will be an essential building block for designers of cutting-edge AI hardware." Rambus said its HBM4E Controller supports operation of up to 16 gigabits per second per pin, enabling data throughput of up to 4.1 terabytes per second for each memory device. In an AI accelerator using eight HBM4E stacks, this could deliver more than 32 TB/s of aggregate memory bandwidth. The controller can be integrated with third-party standard or through-silicon via (TSV) PHYs to form a complete HBM4E subsystem within either 2.5D or 3D packages for system-on-chip (SoC) designs. The HBM4E Controller IP forms part of the company's broader portfolio of high-performance digital controllers and is now available for licensing, with early-access design engagements open.
Rambus has launched the industry's leading HBM4E Memory Controller IP, building on over 100 HBM design wins. The controller delivers up to 16 gigabits per second per pin, providing 4.1 terabytes per second throughput to each memory device. For AI accelerators with eight attached HBM4E devices, this translates to over 32 terabytes per second of memory bandwidth. The solution addresses demanding memory requirements of next-generation AI accelerators and graphics processing units. The controller can be paired with third-party PHY solutions to create complete HBM4E memory subsystems in 2.5D or 3D packages. Rambus positions the technology as essential for cutting-edge AI hardware development, with Samsung Electronics confirming plans to collaborate on driving industry adoption.
Rambus Inc., a semiconductor products manufacturer, is transitioning from a patent licensing firm into a product-driven company positioned in AI memory infrastructure, according to a bullish thesis on Uncle Stock Notes's Substack. The stock traded at $104.13 on 19 February with a trailing P/E of 48.33. Fourth-quarter revenue reached $190.2 million, beating expectations, whilst full-year product revenue rose 41% year-over-year to $347.8 million, driven by DDR5 adoption in server platforms. Each DDR5 RDIMM requires the company's RCD chip, with AI servers demanding higher bandwidth creating volume and pricing expansion. The company generated $360 million in operating cash flow and holds $761.8 million in cash with no debt. Trading at roughly 30 times operating cash flow, Rambus combines high-margin licensing, expanding AI-exposed chip revenue and emerging CXL optionality.