Senior Embedded Vision Engineer, Lime
CA$141-194k
Electric bike and scooter rentals
Job no longer available
Electric bike and scooter rentals
1001+ employees
Job no longer available
CA$141-194k
1001+ employees
Company mission
To build a future where transportation is shared, affordable and carbon-free.
Role
Who you are
- This role requires strong expertise in Computer Vision, Machine Learning, and embedded systems, with a focus on performance, reliability, and scalability in production environments
- 5+ years of industry experience in Computer Vision and Machine Learning, with hands-on experience deploying models in real-world or embedded environments
- Strong programming skills in C/C++ and Python, with experience developing and optimizing applications on resource-constrained devices. Experience working with SoC vendor SDKs, hardware interfaces, and low-level system components is a plus
- Experience with edge AI and embedded platforms (e.g., NVIDIA Jetson, Ambarella, ARM-based SoCs), including performance optimization under latency and power constraints
- Familiarity with model deployment and optimization frameworks such as TensorRT, ONNX Runtime, OpenVINO, or similar
- Experience working with camera systems and additional sensors (e.g., IMU, GPS), with a practical understanding of sensor fusion techniques and state estimation methods
- Solid understanding of computer vision techniques (e.g., detection, classification, segmentation) and practical experience applying them in production
- Experience working with real-world data challenges, including noisy inputs, edge cases, and variability across environments
- Strong debugging and problem-solving skills, particularly in constrained or low-visibility environments
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field (or equivalent practical experience)
- Not sure if you meet all the qualifications? If this role excites you we encourage you to apply
What the job involves
- We are looking for a high-impact Senior Embedded Vision Engineer to help build and deploy the core perception capabilities for the Lime Vision team
- In this role, you will focus on developing, optimizing, and deploying computer vision solutions that enable our vehicles to understand and interact with the real world in real time
- You will work on challenging, real-world problems in micro-mobility—such as tandem riding detection, precision parking validation, and sidewalk riding prevention—helping bring these solutions from concept to reliable deployment on edge hardware
- You will work closely with applied scientists, hardware/firmware engineers, and product teams to execute on the technical roadmap and ensure robust system performance in diverse and unpredictable real-world conditions
- Model Development & Deployment: Design, train, and deploy computer vision models for real-time inference on edge devices, balancing accuracy, latency, and power constraints
- Edge Optimization: Optimize models for embedded hardware (e.g., NVIDIA Jetson, Ambarella, ARM-based SoCs), including working within vendor SDKs to meet latency, memory, and power constraints
- System Performance & Profiling: Identify and resolve performance bottlenecks across the full pipeline (data ingestion, preprocessing, inference, postprocessing) to meet strict real-time requirements
- Sensor Fusion: Work with camera data alongside onboard sensors such as IMUs and GPS, contributing to multi-sensor fusion approaches to improve system robustness and state estimation (e.g., filtering and smoothing techniques such as Kalman filters)
- Robustness in the Real World: Build systems that perform reliably under challenging conditions such as varying lighting, motion, occlusions, and environmental noise
- Cross-Functional Collaboration: Work closely with hardware, firmware, and applied science teams to integrate and deploy vision models on edge devices
- Evaluation & Iteration: Contribute to model evaluation and validation efforts, helping identify performance gaps and inform improvements in data collection and model design
- End-to-End Contribution: Participate in the full development lifecycle, from data understanding and model iteration to deployment and monitoring in the field
Our take
In recent years, electric-powered mobility companies have attracted an extraordinary amount of interest and funding, in part due to rising eco-friendly sentiment, and in part because of the race to "find the next Uber". Lime is one such company, that has rapidly scaled across multiple geographies to be a key player in the fight for market leadership.
Lime, along with its competitors, has had to grapple with regulation in many of its target markets, but nonetheless has steadily increased its footprint. Since its launch, the company has facilitated millions of trips, making it one of the biggest companies of its kind. Interestingly, the CEO has stated that "cars are our true business rivals—not other scooter companies", suggesting that its biggest business challenge will be to get families to give up their second cars.
With a presence that spans an impressive number of regions - in 2023, Lime began operating in Qatar - the company has cemented itself in the micromobility market and stands to profit from the increasing popularity of these types of services. A substantial increase in ridership enabled Lime to achieve "free cash flow positivity" two years in a row, with suggestions it will pursue a US IPO in 2027.
Freddie
Company Specialist at Welcome to the Jungle
Insights
17% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Nov 2021
$523m
CONVERTIBLE
May 2020
$170m
SERIES E
Total funding: $1.5bn
Company benefits
- Disability insurance
- 401(k)
Company HQ
The East Cut, San Francisco, CA
Leadership
Toby
(Co-Founder & Board Advisor)Founder and CEO of ZERO&. Was a Marketing Manager at Pepsi for 6 years before doing an MBA at Berkeley. Moved into consulting and VC for 5 years before starting Lime.
Brad
(Co-Founder & Chairman)VP of Business Development at Tencent for 8 years. Managing Partner of a VC firm for 3 years, where he worked with Toby. Has an MBA from Berkeley.
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