A

Arrcus

Linux-based 64-bit data center network OS

Network Routing & Switching Protocols Software Development Technical Lead

Full-Time
No salary listed
Senior, Expert
Bachelor's, Master's, PhD
Bengaluru, Karnataka, India
In Person
Software EngineeringSystems Software Engineering

About the job

Requirements
  • A Bachelor of Science, Master of Science, or Doctor of Philosophy degree in Computer Engineering or Computer Science, or an equivalent degree.
  • Ability to write high-quality C and C++ code.
  • At least 8 years of relevant hands-on development experience.
  • In-depth expertise with large-scale control plane protocols, including Border Gateway Protocol, Intermediate System to Intermediate System, and Label Distribution Protocol.
  • Experience designing and developing overlay technologies, including Layer 3 Virtual Private Network, Ethernet VPN, and Virtual Extensible LAN.
  • Strong technical exposure to Segment Routing-based fabrics, including Segment Routing Multiprotocol Label Switching, Segment Routing Policy, Segment Routing over IPv6, micro-SID, and Flexible Algorithm.
  • Experience troubleshooting large-scale deployments.
Responsibilities
  • Work with customer and product teams to understand new requirements.
  • Write feature specifications covering requirements and detailed design.
  • Implement improvements and features individually or as part of a team.
  • Triage and resolve internally identified and customer-found issues.
  • Evaluate and integrate third-party libraries.
  • Peer-review feature specifications, code, test plans, and other engineering documents.
  • Improve the performance and scale of existing features and solutions.
  • Assist with interviewing, onboarding, and mentoring new hires.
  • Plan, schedule, track, and periodically report project status through customer delivery.
Desired Qualifications
  • Prior work experience in a startup or venture-backed company is a plus.
  • Equity is included as part of the compensation package.

About the company

A

Arrcus

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Website

Arrcus provides high-performance, secure networking solutions for data centers, including ArcOS, a 64-bit Linux-based network operating system designed for large-scale, programmable networks. ArcOS runs as a microservices-based platform that powers networking devices in data centers and service-provider networks, enabling software-defined, scalable networking, with NVIDIA BlueField acceleration and Red Hat collaboration for multicloud. It differentiates itself through a Linux foundation, a modular microservices architecture, a focus on security, and strategic ecosystem partnerships rather than traditional monolithic network OS vendors. Its goal is to expand its reach in 5G transport, data center networking, and multicloud networking, growing market presence through funding and partnerships.

Company Size

51-200

Company Stage

Late Stage VC

Total Funding

$248.4M

Headquarters

San Jose, California

Founded

2016

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Simplify's Take

What believers are saying

  • Arrcus claimed 3x bookings growth in 2025, announced February 18, 2026.
  • TELUS started a 2026 sovereign inference proof-of-concept with Arrcus AINF.
  • Lightstorm's March 2026 partnership opens Asia-Pacific AI networking across India markets.

What critics are saying

  • Cisco, Nvidia Spectrum-X, and Broadcom control the hardware ecosystem Arrcus depends on.
  • AINF needs many deployments before 2027, or Arrcus remains a niche integration vendor.
  • No public 2026 funding round appeared, pressuring hiring against rivals with deeper balance sheets.

What makes Arrcus unique

  • Arrcus sells ArcOS, a disaggregated NOS spanning data center, edge, and telco networks.
  • AINF routes distributed inference across edge, datacenter, and cloud with policy-aware controls.
  • July 2026 UfiSpace integration pairs ArcOS with Broadcom silicon and AMD GIGAPODs.

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Benefits

  • Health Insurance
  • Parental Leave
  • Company Equity

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

0%

2 year growth

1%
TelecomTV
Jul 24th, 2026
Arrcus and UfiSpace deliver a production-ready AI networking solution for AMD-powered AI infrastructure.

Arrcus and UfiSpace deliver a production-ready AI networking solution for AMD-powered AI infrastructure. Jul 24, 2026 Arrcus's ArcOS(R) deeply integrated with UfiSpace's Broadcom-based Tomahawk(R)& Trident open switch platforms creates a high-performance, fully open alternative to proprietary networking fabrics for AMD GPUs & CPUs SAN JOSE, Calif. - Arrcus, the leader in distributed networking infrastructure and UfiSpace, a global leader in open networking solutions, announced the integration of ArcOS(R) network operating system with UfiSpace's high-performance open switches, powered by Broadcom(R) silicon. Together, with GIGABYTE's modular AI Cluster, GIGAPOD featuring the AMD EPYC & AMD Instinct platforms, this solution is showcased at AMD Advancing AI Day 2026 in San Francisco on July 22-23. The solution provides a high-performance, scalable, and pre-validated AI infrastructure designed to meet the demands of large-scale AI training and inference. An open Ethernet fabric for the AMD AI era As operators scale AI clusters built on AMD-powered platforms, the network has become the deciding factor in cluster performance, utilization, and cost. Closed, single-vendor fabrics constrain choice and economics while Arrcus and UfiSpace deliver open disaggregated hardware built on cutting edge Broadcom(R) silicon, with a proven, full-featured NOS - all assembled into a fabric customers can deploy with confidence and operate at scale. This integrated networking solution is the foundation for the high-performance AMD-powered AI rack solution from Giga Computing, a subsidiary of GIGABYTE, giving customers a clear, deployable path from individual switch to full system. This solution was showcased recently at Computex Taipei 2026. (https://www.ufispace.com/company/news/ufispace-and-gigabyte-debut-u-giga-solution-at-computex-2026). GIGABYTE also showcased the solution at the 6th Gen AMD EPYC(TM) Server CPU platform at AMD Advancing AI Day 2026 in San Francisco on July 22-23. ArcOS brings scalable multi-tenant lossless-Ethernet (RoCEv2) fabric, congestion-management, advanced load-balancing, and deep-telemetry capabilities AI workloads demand, while UfiSpace delivers the high-density, power-efficient networking hardware - including liquid-cooled, OCP ORv3-ready platforms - to support the most demanding AMD-powered training and inference clusters. "AI infrastructure needs to be complemented by smart, programmable networking," said Shekar Ayyar, Chairman and CEO, Arrcus. "By integrating ArcOS deeply with UfiSpace's Tomahawk 6 and Tomahawk 5 Broadcom platforms, we give customers building AMD-powered AI clusters an open, high-performance Ethernet fabric they can deploy with confidence." "From the latest Tomahawk(R) 6 platforms to direct liquid-cooled innovations, UfiSpace's solutions are engineered to scale with AI," said Vincent Ho, CEO of UfiSpace. "Coupling these platforms with a hardened, L10-validated ArcOS allows customers to accelerate their timeline from evaluation to full production. We are empowering AMD-based environments to unlock their maximum performance, giving organizations the architectural sovereignty to stay agile in a rapidly shifting market." "We are excited to see Arrcus and UfiSpace bring AI networking solutions powered by Broadcom's high-density, high-performance networking portfolio," said Hasan Siraj, vice president of product management, Core Switching Group, Broadcom. "Broadcom is leading the AI networking infrastructure revolution with industry-defining platforms based on our Tomahawk, Jericho, and Trident product lines. We're pleased to see Arrcus and UfiSpace bring this silicon to market in an open, co-validated solution that gives AI infrastructure customers a high-performance Ethernet fabric - from the scale-out compute fabric to storage and management." "Deploying AI infrastructure at scale demands incredible engineering agility," said Daniel Hou, General Manager of Giga Computing. "With our GIGAPOD solutions, we have seamlessly paired AMD's latest platform with Arrcus and UfiSpace's open, high-bandwidth switching solutions. This pre-validated solution removes complex integration barriers, allowing our customers to deploy rapidly and lead the generative and agentic AI revolution." Deep integration for production-ready solutions: Arrcus and UfiSpace deliver a tightly integrated networking solution that is tested and ready-to-deploy, where switch hardware and network operating system are co-validated, hardened, and optimized together. * Co-validated and hardened - ArcOS is qualified and performance-tuned on each UfiSpace platform, reducing integration risk and time-to-deployment. * Optimized for AMD AI workloads - tuned for the traffic patterns, lossless requirements, and scale of AMD Instinct-based clusters. Built on Broadcom(R) High-performance AI switch silicon: At the heart of the fabric is UfiSpace's newest generation of open platforms, powered by the latest Broadcom(R) switching silicon: * S9331-64HO and S9331-64HO3L, powered by Broadcom Tomahawk 6 - up to 102.4 Tbps of switching capacity, purpose-built for the radix, bandwidth, and scale of next-generation AI fabrics, including direct liquid-cooled deployments. * S9321-64EO powered by Broadcom Tomahawk 5 - up to 51.2 Tbps, a proven high-performance fabric and spine platform. * S9300-32D, powered by Broadcom Trident 4 and S6301-56ST, powered by Trident 3 (TD3) - up to 12.8 Tbps and 130 Gbps respectively, for storage, aggregation, server access, and OOB roles. About Arrcus Arrcus is a leading provider of high-performance routing and switching solutions, enabling organizations to achieve superior scalability and reliability. Its ACE platform, powered by the ArcOS network operating system, offers an agile alternative to traditional monolithic systems for datacenter, core, and edge environments. To meet the distinct demands of AI, Arrcus delivers specialized ethernet fabrics. For training, its scale-out and scale-across solutions handle massive data synchronization and high-bandwidth requirements. For inferencing, the company recently launched the Arrcus Inference Network Fabric (AINF), a policy-driven approach spanning edge, datacenter, and cloud. By reducing token latency and improving throughput, AINF lowers the cost per token and enables sovereign AI, helping global enterprises modernize connectivity for the AI-driven era. The company is headquartered in San Jose, California. For more information, visit the official website or follow Arrcus on LinkedIn and Twitter/X. About Giga Computing Giga Computing Technology is an industry innovator and leader in the enterprise computing market. Having spun off from GIGABYTE, we maintain hardware expertise in manufacturing and product design, while operating as a standalone business that can drive more investment into core competencies. We offer a complete GIGABYTE product portfolio that addresses all workloads from the data center to edge including traditional and emerging workloads in HPC and AI to data analytics, 5G/edge, cloud computing, and more. Our longstanding partnerships with key technology leaders ensure that our new products will be the most advanced and they will launch with new partner platforms. Our systems embody performance, security, scalability, and sustainability. About UfiSpace UfiSpace is a leading provider of open networking and modular switch platforms, enabling the transformation of telecom, cloud, and data center infrastructure. Backed by deep technical expertise and a global partner ecosystem, UfiSpace delivers scalable, energy-efficient solutions designed to meet the performance and sustainability demands of next-generation networks. As a certified contributor to the Open Compute Project with telecom grade capabilities, UfiSpace plays a key role in accelerating the adoption of open, disaggregated architectures worldwide. Learn more at www.ufispace.com.

Business Wire
Jun 18th, 2026
TELUS trials Arrcus' AI networking fabric for sovereign distributed inference across Canada

Arrcus has announced a proof-of-concept with Canadian telecommunications company TELUS to explore using its Arrcus Inference Network Fabric (AINF) for delivering sovereign, distributed AI inferencing at national scale. The initiative aims to enable secure, low-latency AI for mission-critical applications whilst keeping sensitive data within Canadian borders. AINF is a purpose-built networking fabric that dynamically evaluates business policies including latency targets, data sovereignty boundaries and power constraints in real time. The solution integrates with NVIDIA BlueField-3 DPUs to deliver line-rate encryption and works with NVIDIA Spectrum-4 Ethernet switches. Research indicates the technology can deliver over 60% reduction in Time to First Token, 15% improvement in throughput and 40% reduction in end-to-end latency. The solution is available now.

Business Wire
Mar 16th, 2026
Arrcus integrates AI inference network fabric with NVIDIA Dynamo, BlueField DPUs and Spectrum networking

Arrcus has announced integration between its Arrcus Inference Network Fabric (AINF) and NVIDIA AI infrastructure, including the NVIDIA Dynamo framework, BlueField-3 DPUs and Spectrum-X Ethernet networking. The integration aims to improve delivery of physical and agentic AI applications. AINF acts as a routing layer for distributed inference, intelligently directing requests based on model availability, service tier and real-time network health. It works alongside NVIDIA Dynamo, which handles site-local load balancing, whilst AINF manages global inference routing across distributed environments. The solution integrates with NVIDIA BlueField-3 DPUs for line-rate encryption at up to 400 gigabits per second. Arrcus claims the combined platform enables operators and enterprises to intelligently route inference traffic, maximise GPU utilisation and deliver real-time AI services whilst reducing latency and cost per inference.

VoIP.Review
Mar 10th, 2026
Arrcus Unveils AI Network Fabric at Mobile World Congress

Arrcus unveils AI Network Fabric at Mobile World Congress. At the Mobile World Congress in Barcelona, Arrcus highlighted a significant development in the realm of artificial intelligence and network infrastructure. As AI workloads transition from large-scale training in data centers to real-world inference at the edge, there is a heightened demand for network fabrics that are not only intelligent but also policy-aware. This shift is fueled by a surge in use cases such as autonomous driving, oil drilling, and precision farming, all of which require high throughput and low latency. The modern network infrastructure needs to embrace this transformation. Shekar Ayyar, CEO of Arrcus, noted that traditional ideas like load balancing and caching no longer sufficiently address the challenges posed by AI. Instead, a new distributed architecture is essential. This architecture seamlessly connects edge nodes to training nodes while routing traffic efficiently, ensuring the network can effectively support intensive inference workloads. The Arrcus Inference Network Fabric (AINF) stands as a solution to this modern challenge. Designed with a policy-aware approach, AINF connects training clusters to edge nodes while providing granular policy controls. This allows operators to dictate traffic patterns based on workload needs, optimizing for latency, throughput, power, and data sovereignty. During the congress, Arrcus announced strategic partnerships aimed at bolstering its AI infrastructure capabilities. One notable collaboration is with Fujitsu, leveraging their AI inference chip, MONAKA, to enhance AINF's efficiency. Additionally, partnerships with Nvidia, Broadcom, and Lightstorm further extend the network's reach. Integration with Lightstorm's network-as-a-service solution, Polarin, allows Arrcus to cater to large enterprises and hyperscalers entering Asian markets. Further collaborations with UfiSpace and Lanner focus on delivering AI-optimized hardware solutions for data centers. These expanded networks underscore the readiness of Arrcus to address the evolving needs of AI inference on a global scale. As Ayyar eloquently put it, while training focuses on complex model development, the current priority is leveraging these models efficiently for impactful results.

Technology AI Insights
Mar 5th, 2026
Arrcus and Fujitsu Partner to Build Secure, Energy-Efficient AI Infrastructure

Arrcus and Fujitsu partner to build secure, energy-efficient AI Infrastructure. As artificial intelligence continues to expand beyond centralized data centers, technology companies are increasingly focusing on infrastructure that can support AI workloads closer to where data is generated. Against this backdrop, Arrcus has announced a strategic collaboration with Fujitsu and 1Finity to develop next-generation infrastructure built around FUJITSU-MONAKA, Fujitsu's upcoming Arm-based CPU designed for high performance and energy efficiency. Through this partnership, the companies aim to deliver a secure and energy-efficient infrastructure architecture tailored for the emerging era of Physical AI, Agentic AI, and large-scale AI training. More importantly, the initiative focuses on enabling organizations to deploy AI capabilities across highly distributed environments while maintaining strong performance, governance, and operational efficiency. As AI inference increasingly moves to the edge such as factories, hospitals, warehouses, and regional network hubs enterprises and service providers must address several challenges. For instance, latency reduction, power consumption, data sovereignty, and security have become critical considerations. Therefore, Arrcus and Fujitsu are jointly developing a Secure Sovereign AI Infrastructure architecture designed specifically to handle distributed AI workloads ranging from real-time edge inference to scalable AI training systems. To achieve this, the collaboration combines FUJITSU-MONAKA-powered compute systems, Arrcus ArcOS, a disaggregated software-defined networking operating system, and 1Finity's high-speed optical interconnect technology. Together, these technologies will enable intelligent traffic orchestration, secure connectivity, and end-to-end automation across distributed AI environments. As a result, service providers can transform traditional networks into programmable AI platforms capable of supporting advanced AI-driven services. "AI inference is increasingly happening closer to where data is generated, in factories, hospitals, warehouses, and regional networks, and that fundamentally changes infrastructure requirements," said Shekar Ayyar, Chairman and CEO of Arrcus. "By combining Arrcus' distributed, programmable networking software with Fujitsu's FUJITSU-MONAKA platform, we're laying the foundation for secure, sovereign AI infrastructure that can scale from the edge to the core while optimizing for power, performance, and operational flexibility." Notably, FUJITSU-MONAKA has been designed to deliver strong AI inference and data-processing performance while significantly improving power efficiency. In addition, the processor incorporates confidential computing capabilities, which provide hardware-based security and reinforce data sovereignty. When integrated with Arrcus' ArcOS network operating system, the solution enables dynamic traffic steering, workload-aware routing, and automated orchestration across distributed computing environments. These capabilities are particularly important for Physical AI applications and real-time inference workloads, where systems must process large amounts of data quickly while maintaining strict security standards. "Physical AI and edge inference demand infrastructure that is not only powerful, but also energy-efficient and secure by design," said Toshio Yoshida, VP, in charge of processor development, Advanced Technology Development Unit of Fujitsu. "Our collaboration with Arrcus around FUJITSU-MONAKA is key to meeting data sovereignty requirements and enabling enterprises and service providers to deploy trusted AI infrastructure with confidence across edge-to-core environments." Furthermore, by aligning compute, networking, and optical transport technologies, Fujitsu, Arrcus, and 1Finity aim to create a unified architecture for distributed AI clouds. This integrated approach will allow service providers to move beyond basic connectivity services and instead position themselves as AI infrastructure platforms. The joint architecture also supports several critical industry use cases. For example, it can power smart factories, robotics systems, logistics automation platforms, and healthcare technologies that require ultra-low-latency decision-making. At the same time, enterprises can use the platform to process sensitive data locally while maintaining regulatory compliance and governance standards. Additionally, service providers may leverage the infrastructure to launch distributed AI hosting services and edge-based inference platforms, unlocking new revenue streams. Looking ahead, Arrcus and Fujitsu plan to demonstrate this collaborative concept at MWC Barcelona, where they will highlight how the architecture can support next-generation AI deployments across edge-to-core environments.