S

Span

Real-time energy management via smart panel

Senior Staff Systems Engineer

Full-Time
No salary listed
Expert
Bengaluru, Karnataka, India
In Person
Software EngineeringBackend Engineering, Systems Software Engineering

About the job

Requirements
  • The candidate must have 15+ years of experience in technical leadership roles focused on integrating hardware, firmware, and cloud ecosystems.
  • The candidate must have deep expertise in C/C++ for real-time operating systems such as FreeRTOS and Zephyr or bare-metal environments, along with a strong understanding of microcontroller and microprocessor architectures.
  • The candidate must have proven experience architecting Internet of Things backends using cloud-native services such as Lambda or Functions, Kubernetes, NoSQL, and event-driven architecture.
  • The candidate must have expert knowledge of device-to-cloud communication using MQTT, CoAP, and HTTPS, as well as wireless protocols including Wi-Fi, Bluetooth Low Energy, and cellular.
  • The candidate must be proficient in Docker, Kubernetes, and infrastructure-as-code tools such as Terraform and Ansible for hardware-in-the-loop and cloud deployments.
  • The candidate must have mastery of secure over-the-air update mechanisms, hardware root of trust, and edge data processing.
  • The candidate must have strong experience with scripting languages such as Python or Bash for automation and system analysis.
  • The candidate must be able to influence senior stakeholders and drive complex, cross-functional technical decisions across hardware and software engineering teams.
Responsibilities
  • Serve as a master problem solver by distilling complex, multi-layered technical challenges into simple, elegant solutions that align with core business goals and architectural integrity.
  • Influence high-impact decisions and take ownership of end-to-end system considerations as a hands-on leader to drive execution and solve critical issues.
  • Champion a platform-first approach by consolidating tools and simplifying technical stacks to streamline analysis, resolution, and overall system quality across firmware and cloud domains.
  • Drive strategic execution by designing high-performance systems that ensure long-term scalability and reliability, including cloud backend, automated deployments, and infrastructure-as-code.
  • Architect the integration between firmware and cloud, focusing on secure device-to-cloud communication, over-the-air updates, and robust edge computing strategies.
  • Consolidate and influence comprehensive observability frameworks to ensure proactive incident management across the entire Internet of Things lifecycle, from device firmware to cloud ingestion and cost control.
  • Provide technical mentorship and conduct rigorous design reviews to promote best practices in embedded systems and cloud-native architecture and maintain total system integrity.

About the company

Span.io provides home energy management through the SPAN Panel, a smart electrical panel that lets you monitor and control energy use circuit by circuit via the SPAN Home App. It works with existing or new home energy setups, including storage and EV chargers, and can schedule EV charging for off-peak times and prioritize essential circuits during outages to extend battery life. The company aims to lower home energy costs and enable upgrading appliances without expensive electrical service work, claiming savings of around 15% on bills and 40% longer battery life. It also runs an Authorized Installer program that trains electricians and offers lead generation to create an extra revenue stream for installers, targeting homeowners in older homes that can’t upgrade service.

Company Size

201-500

Company Stage

Late Stage VC

Total Funding

$393.1M

Headquarters

San Francisco, California

Founded

2018

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Simplify's Take

What believers are saying

  • September 23, 2026 Sunrun expands SPAN’s distribution through new-home communities and financing.
  • August 25, 2026 SPAN Home app refresh improves homeowner engagement across 16-to-48 breaker panels.
  • NVIDIA-backed XFRA and PulteGroup testing validate SPAN’s shift from panel maker to infrastructure platform.

What critics are saying

  • PulteGroup said XFRA reached only one home by May 2026, slowing commercialization.
  • Texas and other market tariffs must support residential compute economics, or XFRA dies.
  • Residential AI nodes invite zoning, homeowner, and utility backlash over noise, reliability, and safety.

What makes Span unique

  • SPAN’s smart panel controls circuits, batteries, EVs, and now XFRA compute orchestration.
  • September 2026 Sunrun partnership bundles solar, storage, panels, and compute into one residential stack.
  • SPAN’s UL 3141-certified panels plus Edge and API create utility-grade home infrastructure.

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Benefits

Competitive salary

Comprehensive benefits

6-month parental leave

Unlimited PTO

Teambuilding & career growth

Growth & Insights and Company News

Headcount

6 month growth

2%

1 year growth

0%

2 year growth

-7%
GlobeNewswire
Sep 23rd, 2026
Sunrun and SPAN expand partnership to accelerate distributed Edge computing.

Sunrun and SPAN expand partnership to accelerate distributed Edge computing. The expanded partnership delivers a complete, behind-the-meter distributed compute solution for residential deployment at gigawatt scale, built into new home communities from the ground up. September 23, 2026 09:20 ET | Source: Sunrun Inc. SAN FRANCISCO, Sept. 23, 2026 (GLOBE NEWSWIRE) - Sunrun (Nasdaq: RUN), America's largest provider of home battery storage, solar, and home-to-grid power plants, and SPAN, the leader in intelligent home energy management, today announced a partnership expansion to accelerate AI compute capacity by combining home energy systems with distributed compute infrastructure. Under the partnership, Sunrun will provide home solar and battery storage to help power SPAN's XFRA distributed data center solution, accelerating deployed compute capacity. The partnership combines Sunrun's home energy products, financing, and installation and service network with SPAN's XFRA distributed compute node and orchestration capabilities to deliver a scalable, low-cost, low-latency compute solution that can be deployed faster than traditional data centers. "This partnership expansion with SPAN puts customers first, ensuring that they directly benefit in multiple ways from their participation in this powerful distributed AI solution," said Sunrun CEO Mary Powell. "By pairing home energy generation and storage with XFRA compute nodes, we are unlocking new economic value for our customers and for Sunrun, while also solving certain speed-to-power constraints that would otherwise limit AI deployment." Under the partnership, SPAN and Sunrun will partner with leading homebuilders and begin deployments in new construction residential communities in Texas and other specified markets, enabling distributed AI infrastructure to be built into communities from the ground up. Sunrun's battery-plus-solar systems will maintain reliable electricity for both the homes and the XFRA compute nodes, while preventing the overloading of local distribution infrastructure - allowing SPAN to maximize node deployment. "Teaming up with Sunrun solves one of the main bottlenecks for distributed AI compute: power generation and transmission constraints," said Arch Rao, founder and CEO of SPAN. "We can now drastically increase our penetration of XFRA compute nodes by pairing them with Sunrun energy systems to deliver cost-effective AI compute capacity at unprecedented speed while also reducing compute cost for certain AI applications." At no cost to the builder or the homeowner, and without increasing the purchase price of the home, each host customer will receive a smart electrical panel paired with a multi-battery storage and solar system through a pre-paid lease. Customers will also receive whole-home backup power and ongoing compensation for hosting the XFRA compute node. SPAN's XFRA platform utilizes liquid-cooled NVIDIA GPUs that are managed through SPAN's XFRA Secure Orchestration Layer, which intelligently schedules AI workloads based on latency requirements and real-time energy availability at each home. In addition to providing capacity for the compute nodes and local power infrastructure, Sunrun will enroll the home batteries in its grid service programs, growing Sunrun's market-leading distributed power plant fleet. Together, Sunrun and SPAN represent the only end-to-end platform for residential AI compute, combining the nation's largest residential energy platform with XFRA's distributed compute network to bring distributed compute capacity online at the speed and scale the AI buildout demands. About Sunrun Sunrun Inc. (Nasdaq: RUN) is America's largest provider of home battery storage, solar, and home-to-grid power plants. As the pioneer of home energy systems offered through a no-upfront-cost subscription model, Sunrun empowers customers nationwide with greater energy control, security, and independence. Sunrun supports the grid by providing on-demand dispatchable power that helps prevent blackouts and lowers energy costs. Learn more at www.sunrun.com. About SPAN SPAN is on a mission to enable a more efficient and affordable energy future. The company began by reinventing the electrical panel and continues to transform grid-edge energy infrastructure through combined hardware and software innovation. The SPAN product portfolio includes five smart electrical panel models, SPAN Edge (the intelligent service point), XFRA (the distributed data center), EV charging solutions, and the SPAN Home App. SPAN delivers energy management and advanced power controls that unlock greater grid utilization, benefiting homeowners, builders, utilities, and data center developers with lower costs and faster speed to power. For more information, go to www.span.io. Sunrun Media Contact Wyatt Semanek Sr. Director, Corporate Communications [email protected] Investor & Analyst Contact Patrick Jobin SVP, Deputy CFO & Investor Relations Officer [email protected]

Yahoo Finance
May 30th, 2026
Nvidia partners with homebuilder to install mini AI data centres in new homes' backyards

California startup Span is partnering with Nvidia and homebuilder PulteGroup to install compact AI computing units outside new residential homes. The XFRA nodes, roughly the size of HVAC condensers, contain enterprise-grade hardware for running AI workloads. Span installs the units at no upfront cost to homeowners, who pay a flat monthly fee. Homeowners may receive compensation based on energy and compute usage, potentially lowering overall utility costs rather than generating profit. The company claims it can deploy 8,000 units six times faster and at one-fifth the cost of building a comparable traditional data centre. A proof-of-concept trial involving approximately 100 homes is underway, with broader rollout planned for later this year. The initiative addresses growing data centre power demands and grid interconnection delays. It currently focuses on new construction only.

Fortune
May 15th, 2026
Startups install mini data centres in homes to ease grid strain and cut costs

Startups are installing cabinet-sized data centres in homes to reduce electrical grid strain, with California-based Span partnering with Nvidia to deploy prototype units called XFRA in Northern California. The quiet, fan-free units generate one to two megawatts of compute power, with capacity expected to exceed one gigawatt annually from next year. Span charges hosts approximately $150 monthly whilst covering their electricity and internet bills, selling the computing power to hyperscalers and AI companies. UK startup Heata takes a different approach, using server heat to warm water for domestic use, claiming to have saved about one gigawatt-hour of energy across 100 homes. However, physicist Robert Davies warns these solutions may encourage greater data centre expansion through Jevons paradox, where increased efficiency drives higher overall consumption.

Yahoo Finance
May 15th, 2026
Startups are installing tiny data centers in people's homes to reduce strain on the beleaguered electrical grid.

Startups are installing tiny data centers in people's homes to reduce strain on the beleaguered electrical grid. Sasha Rogelberg Amidst the anxiety and disdain for data center growth, startups see an opportunity by designing mini data centers to install in homes that have less of a financial burden on residents, as well as a potentially lower ecological footprint than warehouse data centers. California-based Span, in partnership with Nvidia, has deployed prototype data center "nodes" in Northern California. The cabinet-sized units, dubbed XFRA, are installed on the sides of homes and small businesses. Requiring no fans, the technology is quiet, mitigating the problem of noise pollution that has drawn the ire of residents of areas with nearby warehouse data centers. Ryan Harris, chief revenue officer of Span, said the company estimates XFRA will be able to generate about one to two megawatts worth of compute later this year, scaling across the country to an annual capacity of more than 1 gigawatt beginning next year. PulteGroup, among the largest homebuilders in the U.S., is testing the system. Nvidia will provide the liquid-cooled RTX PRO 6000 Blackwell Server Edition GPUs for the system. "We do see a path to being able to contribute on an annual basis hundreds of megawatts, if not gigawatts, of scale compute capacity, while doing so in a deflationary-to-energy-price way," Harris told Fortune. All the while, tensions between hyperscalers and residents have been mounting over AI's rising costs and environmental impacts. With data centers the size of dozens of football fields combined sprouting up around the country, residents have protested the construction of AI infrastructure, which McKinsey projected to touch $7 trillion in capital expenditures by 2030. The warehouses erected to store and process massive amounts of data have strained the U.S.'s already beleaguered grid system, potentially driving up electric bills by 6% over the next year, according to Goldman Sachs research. That's on top of concerns that data centers are guzzling water as part of their cooling systems. Two data center developments, one in Arizona and one in Georgia, took public water without authorization, and a recent study by the Houston Advanced Research Center projected the centers would drain as much as 399 billion gallons of water in Texas alone by 2030. "We know what a big project this is, and what a nuisance it's going to be, and what environmental impact it's going to have on this area," Kathryn Haushalter, a 42-year-old former U.S. Marine living in Saline Township, Michigan, across a future data center site, recently told Fortune. "I'm just so nervous for everybody else that doesn't realize."

Intellectia AI
May 15th, 2026
SPAN.IO CEO discusses costs of home AI data centers.

SPAN.IO CEO discusses costs of home AI data centers. Updated: May 15 2026 * Installation Cost: SPAN.IO CEO Arch Rao states that installing an AI data center at home costs nothing, allowing consumers to benefit from free energy and internet services through existing power distribution networks, thereby reducing long-term expenses and enhancing quality of life. * Market Potential: With approximately 1 million single-family homes built annually in the U.S., deploying this technology in just 5% to 10% of these homes could meet the annual inference compute demand, showcasing significant market scale and economic benefits. * Technical Collaboration: SPAN.IO is partnering with NVIDIA to develop liquid cooling systems designed to integrate efficient computing capabilities into homes, enhancing service quality and promoting the adoption of home data centers, thereby solidifying its market position in the AI sector. * User Experience Optimization: The new system operates at 60 decibels, quieter than standard air conditioning units, ensuring that users enjoy economic benefits without noise disruption, thus improving user satisfaction and market acceptance. Trade with 70% backtested accuracy. Stop guessing "Should I Buy NVDA?" and start using high-conviction signals backed by rigorous historical data. Sign up today to access powerful investing tools and make smarter, data-driven decisions. | / | NVDA Close: 215.300 | / | | / | / | / | Analyst views on NVDA. Wall Street analysts forecast NVDA stock price to rise 41 Analyst Rating 20.71% Upside Strong Buy Current: 219.510 Goldman Sachs 2026-05-20 Goldman Sachs maintains the firm's buy rating with a $250 price target on Nvidia after its Q1 results but believes the stock should trade higher after earnings. The company reported a strong quarter and guidance relative to consensus estimates and against relatively bullish expectations heading into the print, the analyst tells investors in a research note. Nvidia's capital allocation announcements - buyback increase of $80B and dividend increase - are also "incrementally supportive" of the stock, the firm added. $295 -> $325 2026-05-19 HSBC analyst Frank Lee raised the firm's price target on Nvidia to $325 from $295 and keeps a Buy rating on the shares. The firm expects the company to report a "beat and raise" fiscal Q2 on May 200. Nvidia shares have underperformed peers over the last six months despite having two conference events and two sets of financial results that beat estimates and raised expectations, the analyst tells investors in a research note. The firm believes the company needs to show evidence of diversifying its non-cloud service provider customer base to fuel its AI graphics processing unit momentum. Unlock Full Analyst Thesis, Get the complete breakdown of rating reason for NVDA Unlock Now Valuation of NVDA. NVIDIA Corp (NVDA) is now in the Fair zone, suggesting that its current forward PE ratio of 27.03 is considered Fairly compared with the five-year average of 42.70. The fair price of NVIDIA Corp (NVDA) is between 125.90 to 524.07 according to relative valuation methord.