Full-Time
Senior Electrical Engineer
Posted on 7/15/2024
Serve Robotics
201-500 employees
Autonomous delivery robots for food, retail
Compensation Overview
$150k - $200k/yr
San Carlos, CA, USA
Hybrid
 Electrical Engineering (1) |
|---|
- BS in Electrical Engineering; MS/PhD preferred
- 10+ years of experience in designing and testing electrical systems in robotics, consumer electronics, or related fields
- Expertise in high-speed analog and digital design, embedded systems, power electronics, and motor controllers
- Broad technical skills, capable of contributing to various aspects of robotic system design
- Proficient in electrical CAD tools and PCBA design workflows; Altium experience preferred
- Working knowledge of Linux command line for scripting, text editing, and system operations
- Extensive hands-on experience with oscilloscopes, DMMs, spectrum analyzers, LCR/network analyzers, and soldering equipment
- Familiarity with communication protocols including CAN, RS-485, UART, SPI, I2C, and Ethernet
- Experience in power electronics, including DC-DC converters and battery management systems
- Strong interpersonal and communication skills
- Design the electrical architecture for the next-gen delivery robot, supporting multiple market applications. Prioritize high-speed analog and digital design, high-speed data cabling, high voltage power, embedded systems, and motor controllers
- Own the complete lifecycle of PCBA development, including specification, architecture, design, simulation, schematics, layout, prototype validation, and manufacturing
- Define and maintain comprehensive documentation outlining system design specifications, power consumption estimates, and validation strategies to ensure product performance and reliability
- Develop hardware with a focus on Design for manufacturing, ensuring efficient production processes, Design for test, and compliance with electromagnetic compatibility (EMC) and electromagnetic interference (EMI) standards
- Work closely with embedded software engineers to enable seamless hardware-firmware integration, ensuring proper functionality, debugging, and optimization during early prototype development
- Investigate hardware failures, system-level issues, and performance deviations using analytical techniques and debugging tools to identify root causes and implement corrective actions
- Proficiency with the NVIDIA Jetson platform
- Deep expertise in one or more areas: sensors, motors, batteries, cameras, power systems, and thermal design
- Experience managing overseas vendor partnerships and factory support
- Industry experience in automotive, medical, aerospace, or robotics
- Strong background in brushless DC motor tuning, motor specification, and validation
- Expertise in thermal testing and EMC/EMI compliance verification
- Proficiency in developing automation scripts (Python, Bash) for hardware testing
Serve Robotics develops autonomous delivery robots and a Delivery-as-a-Service (DaaS) model for businesses in food and retail. Its lightweight self-driving robots transport orders through urban environments, replacing car-based deliveries with eco-friendly, curb-to-door service. Customers subscribe to the service and pay based on delivery volume and frequency, enabling scalable, predictable costs. The company also may generate revenue via partnerships and licensing for integration of its autonomous delivery technology. What sets Serve Robotics apart is the combination of practical, city-friendly robotics with a focus on sustainability and a subscription-based delivery platform, aiming to provide faster, more reliable, and lower-emission deliveries. The goal is to move away from traditional vehicles toward autonomous, environmentally friendly delivery solutions that reduce emissions and traffic while improving the customer experience.
Company Size
201-500
Company Stage
Post IPO Equity
Headquarters
Redwood City, California
Founded
2021
Simplify's Take
What believers are saying
- Gen3 robots achieve 65% cost reduction enabling profitable unit economics at scale.
- White Castle partnership validates temperature-sensitive delivery for QSR expansion across multiple markets.
- Global delivery robot market projected to grow 32% annually through 2034.
What critics are saying
- T-Mobile 5G edge network outage renders Maggie conversational capability non-functional immediately.
- Amazon and DoorDash deploy proprietary autonomous robots with vastly larger customer networks.
- Uber partnership renegotiation or shift to in-house delivery eliminates largest revenue customer.
What makes Serve Robotics unique
- Conversational AI robot Maggie powered by T-Mobile 5G edge computing enables real-time human interaction.
- Healthcare revenue stream from Diligent Robotics generates $200K+ annual recurring revenue per hospital.
- Software and data monetization now represent one-third of total revenue with 50% recurring.
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Benefits
Professional Development Budget
Flexible Work Hours
Growth & Insights and Company News
6 month growth
↑ 1%1 year growth
↑ 1%2 year growth
↓ -2%Serve Robotics is expanding its monetization beyond core delivery services, with advertising, software and data revenues gaining traction. In the fourth quarter, advertising and branding revenues increased 50% year over year, whilst software revenues exceeded $200,000, with 70% from recurring sources. The company generated its first data monetisation revenues during the quarter. The acquisition of Diligent Robotics has introduced a healthcare revenue stream, with nearly 100 Moxi robots operating across more than 25 hospital facilities. Each facility generates over $200,000 in annual revenues through recurring contracts, having completed over 1 million deliveries. This diversification comes as competitors Amazon and DoorDash expand their own platforms, with Amazon growing advertising revenue 22% year over year and DoorDash pushing into non-restaurant categories.
Serve Robotics unveils conversational delivery robot at NVIDIA GTC 2026, powered by T-Mobile 5G edge. April 7, 2026 at 1:48 PM - by MLQ Agent · source GlobeNewsWire Key points. * Serve Robotics demonstrated 'Maggie,' its first AI-powered conversational robot, at NVIDIA GTC 2026, capable of real-time human interaction. * The robot runs on T-Mobile's 5G Advanced and edge computing infrastructure for ultra-low latency processing. * Serve has deployed over 2,000 robots across the U.S. and acquired Diligent Robotics in 2026 to expand into indoor hospital service robots. * Over a dozen Serve robots were actively operating at the GTC venue for food and swag delivery, running on NVIDIA Jetson Orin modules. Serve Robotics (SERV) introduced "Maggie," its first conversational autonomous robot, during a live demonstration at NVIDIA's GTC 2026 conference. The robot is designed to interact with humans in real time using natural language, powered by T-Mobile's 5G Advanced network and edge computing infrastructure. The demonstration marks an expansion beyond Serve's core sidewalk delivery operations into more interactive, human-centric AI systems. Beyond the Maggie showcase, Serve deployed more than a dozen robots across the GTC venue at San Jose's SAP Center for practical tasks including food delivery, all running on NVIDIA Jetson Orin edge processing modules. Price Action NVDA chart T-Mobile partnership and edge AI architecture. Maggie relies on T-Mobile's next-generation edge network to process and respond to inputs with minimal latency. The architecture uses localized data processing rather than routing queries to distant cloud servers, which T-Mobile says enables more natural, real-time interactions. Grant Ries, T-Mobile's Chief Data & AI Officer, said the carrier's network is "uniquely positioned to enable the next generation of physical AI devices" and described it as a platform for broader AI-enabled applications beyond robotics. Serve's expanding robotics footprint. Serve Robotics, which spun off from Uber in 2021, has deployed more than 2,000 autonomous delivery robots across the U.S., reaching approximately 3 million people and supporting delivery for over 3,600 restaurants. Earlier in 2026, the company acquired Diligent Robotics, expanding its operations from sidewalk delivery into indoor service robots used in hospitals. The company designs both hardware and software for its robots, which use cameras, sensors, and AI to navigate urban environments and interact with pedestrians. Market and competitive context. The announcement drew limited market reaction. Serve Robotics shares traded roughly flat in early sessions on April 7, while NVIDIA stock moved less than 0.5% intraday amid a broad slate of GTC robotics demonstrations. No major analyst firms issued dedicated notes on the demo. TechRadar's hands-on coverage noted the real-world appeal of the demonstration but questioned scalability, citing a 45-second snack-serving speed slower than a human counterpart. In the sidewalk delivery space, Serve competes with Starship Technologies, which operates similar autonomous bots but without conversational AI capabilities, and differentiates through its T-Mobile edge connectivity and NVIDIA Jetson hardware integration. Companies mentioned. Written with AI assistance, verified and edited by its team. Questions? Contact MLQ.ai.
Serve Robotics has unveiled "Maggie," its first AI-powered conversational robot, at NVIDIA GTC 2026. The autonomous delivery robot can interact with humans in real time, representing a significant advancement in human-centric AI systems. Maggie operates using T-Mobile's 5G Advanced network and edge computing, enabling instant processing and responses for natural interactions. The collaboration leverages ultra-low latency and localised data processing to support real-time intelligence in physical environments. Serve Robotics, which spun off from Uber in 2021, has deployed over 2,000 autonomous delivery robots across the US, serving approximately 3 million people and supporting more than 3,600 restaurants. In 2026, the company acquired Diligent Robotics, expanding from sidewalk delivery into indoor service robots for hospitals.
Serve Robotics debut conversational robot powered by edge AI at NVIDIA GTC 2026. New capability showcases the intersection of AI, connectivity and real-world robotics SAN FRANCISCO, April 07, 2026 (GLOBE NEWSWIRE) - Serve Robotics Inc. (Nasdaq: SERV), a leading autonomous robotics company, recently introduced "Maggie," its first AI-powered conversational robot, during a live demonstration at NVIDIA GTC 2026. Maggie is designed to interact with humans in real time, marking a significant step toward more dynamic, human-centric AI systems operating in the physical world. "We're building robots that don't just move through the world, but interact with it," said Ali Kashani, CEO and co-founder of Serve Robotics. "With T-Mobile's edge network, our robots can respond, unlocking more natural interactions and bringing physical AI into everyday environments. I'm delighted with the progress made to showcase these capabilities and how they can be incorporated into all physical AI applications, and Serve is proud to work with T-Mobile to be at the forefront of this revolution." Serve Robotics' autonomous delivery robots operate on sidewalks and handle short-distance, last-mile deliveries in busy urban areas. Using a combination of cameras, sensors, and AI, they navigate city streets, detecting obstacles and interacting safely with pedestrians. Serve has partnered with T-Mobile to power Maggie using T-Mobile's 5G Advanced and edge computing, enabling real-time responsiveness and more seamless human-robot interactions. Leveraging T-Mobile's next-generation edge network, including ultra-low latency, enhanced security, and localized data processing, Maggie can process and respond to inputs instantly for more natural, interactive experiences. This collaboration reflects a broader shift toward embedding AI in physical environments, where high-performance connectivity is critical to real-time intelligence. "Unlocking the full potential of physical AI requires more than intelligence on the device, it demands a network that can support inferencing at the edge where AI is moving and interacting with the world in real time," said Grant Ries, Chief Data & AI Officer, T-Mobile. "T-Mobile's network is uniquely positioned to enable the next generation of physical AI devices, with ultra-low latency, fast speeds and the intelligence built into the network to support whatever will be needed by innovative solutions like Serve's Maggie. Our adaptive, intelligent network is the platform on top of which we will help usher in an AI-enabled future." About Serve Robotics Serve Robotics (Nasdaq: SERV) designs and operates autonomous robots that navigate and operate in complex, human-centric environments. Since spinning off from Uber in 2021, Serve has deployed more than 2,000 robots across the U.S., reaching a population of approximately 3 million and supporting delivery for more than 3,600 restaurants. In 2026, Serve acquired Diligent Robotics, expanding its operations beyond sidewalk delivery into indoor service robots used in hospitals. Serve designs both the hardware and software behind its robots, enabling them to operate safely in public and private environments at scale. Forward Looking Statements This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Serve intends such forward-looking statements to be covered by the safe harbor provisions for forward-looking statements contained in Section 21E of the Exchange Act. These forward-looking statements can be about future events, including statements regarding Serve's intentions, objectives, plans, expectations, assumptions and beliefs about future events, including Serve's expectations with respect to the financial and operating performance of its business, its capital position, and future growth. The words "anticipate", "believe", "expect", "project", "predict", "will", "forecast", "estimate", "likely", "intend", "outlook", "should", "could", "may", "target", "plan" and other similar expressions can generally be used to identify forward-looking statements. Indications of, and guidance or outlook on, future earnings or financial position or performance are also forward-looking statements. Any forward-looking statements in this press release are based on management's current expectations of future events and are subject to a number of risks and uncertainties that could cause actual results to differ materially and adversely from those set forth in or implied by such forward-looking statements. Risks that contribute to the uncertain nature of the forward-looking statements include those risks and uncertainties set forth in Serve's Annual Report on Form 10-K for the year ended December 31, 2025, filed with the United States Securities and Exchange Commission (the "SEC") and in its subsequent filings filed with the SEC. All forward-looking statements contained in this press release speak only as of the date on which they were made. Serve undertakes no obligation to update such statements to reflect events that occur or circumstances that exist after the date on which they were made. Plug into more green stock news. 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Serve Robotics has raised $120 million in a Series C round, valuing the last-mile delivery robotics company at $688 million. The company, which has a partnership with Uber Technologies, posted sales of approximately $2.7 million last year but is guiding for revenue of roughly $26 million this year. The stock has declined nearly 13% in 2026 and is down approximately 49% from its 52-week high. Despite the pullback, the company expects rapid sales growth as deployment of its delivery bots accelerates. Analysts characterise Serve Robotics as a high-risk, speculative investment that may suit investors with high risk tolerance seeking exposure to automation and AI trends. The company remains in early expansion stages, with its current valuation reflecting expectations for substantial future revenue growth.