--- title: 'Research Engineer/Senior Research Engineer, 3D Auto-Labeling and Data Flywheel at PlusAI' canonical: 'https://feeny.ai/job/research-engineer-senior-research-engineer-3d-auto-labeling-and-data-flywheel-e8v88ttdtesb' type: 'job' last_seen: '2026-11-03' --- # Research Engineer/Senior Research Engineer, 3D Auto-Labeling and Data Flywheel at PlusAI - **Company:** PlusAI - **Location:** Santa Clara, CA - **Compensation:** $130k–$220k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-02 - **Last confirmed live:** 2026-11-03 - **Apply:** https://jobs.lever.co/plus-2/fab19e1f-92a3-4118-98df-0ad7f1fef336 ## Job description PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. ## Responsibilities - Develop and evaluate methods that turn multi-sensor recordings into accurate 3D object labels offline, using models and compute the vehicle cannot afford in real time, and measure them against reviewed ground truth - Raise label quality and reduce the human review it needs: find where machine labels fail and fix the causes in models, sensor fusion or data; bring state-of-the-art perception and foundation models into offline use and adapt them to our vehicles and sensors - Build and operate the labeling pipelines at fleet scale: batch GPU inference, data extraction and alignment, selection of what goes to human review, annotation-tool integration, monitoring, throughput and cost, and regression tests that catch quality drops before data reaches training - Close the loop with the modeling teams: deliver training-ready labels, feed model failures and long-tail scenarios back into what gets curated and labeled next; at the senior level, lead designs and mentor - Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts Required Skills - BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, or a related technical field, or equivalent practical experience - Hands-on experience developing and evaluating 3D perception methods (detection, tracking, sensor fusion or related) with a framework such as PyTorch, including experimentation, error analysis, principled metrics, built on solid fundamentals in 3D geometry, coordinate frames, and camera and lidar calibration - Strong Python (NumPy, Pandas, SQL) and working C++ where performance matters; experience running large offline workloads with GPU batch inference - Foundations for data-centric machine learning: how training-data composition shapes model behavior, how to evaluate against ground truth, and how to measure and reduce annotation cost - Self-driven with a strong sense of responsibility: a quick learner who takes problems from ambiguous to shipped; for the senior level, a system you were responsible for end to end, design documents others built on, and mentoring ## Preferred Skills - Auto-labeling, offline perception, or ground-truth generation for autonomous driving or robotics, including integrations with annotation tools and vendors - Experience improving models through data: active learning and data flywheels, hard-example mining, uncertainty or disagreement signals, dataset curation - Lidar SLAM, structure-from-motion, factor-graph optimization (GTSAM, Ceres), or stereo and monocular depth estimation - Foundation and multimodal models: open-vocabulary detectors, promptable segmentation, vision-language models, embeddings and vector search - Heavy-truck specifics (articulated vehicles, trailer state estimation, multi-platform calibration) or lane and road-geometry labeling pipelines ## Your opportunities joining PlusAI Work, learn and grow in a highly future-oriented, innovative and dynamic field. Wide range of opportunities for personal and professional development. Catered free lunch, unlimited snacks and beverages. Highly competitive salary and benefits package, including 401(k) plan. ## About PlusAI ## Company Overview - **One-liner**: PlusAI develops AI-based autonomous driving software for heavy trucks, powering Level 4 (L4) virtual driver systems that enable trucks to operate without human intervention on highways. - **Entity Type**: Private (planning to go public via a SPAC merger with Churchill Capital Corp IX, NYSE: PLAV – conflicting reports indicate the reverse merger may have been cancelled) - **Headquarters**: Santa Clara, California, United States - **Founded**: 2016 - **Founders**: Not publicly available in provided sources ## Core Business - **Primary industry**: Autonomous driving / automotive technology - **Target customers**: B2B – global truck manufacturers (OEMs) and large freight fleets - **Mission**: To make trucking safer, more efficient, and more sustainable by deploying AI-powered autonomous driving at scale ## Products & Services - **SuperDrive**: L4 autonomous driving system that serves as a virtual driver for factory-built heavy trucks. Designed to be installed by OEMs and monetized on a per-mile usage basis. - **PlusDrive**: A driver-assist version of SuperDrive that keeps a human in the cabin to oversee the system. Already in commercial use, reducing driver fatigue and fuel costs. - **SuperDrive HyperFoundry**: A suite of proprietary AV data and tools (data acquisition, auto-labeling, 3D reconstruction, neural simulation) sold to third-party customers today, generating revenue before the full L4 launch. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed; the SPAC merger was valued at $300M (conflicting reports of cancellation). - **Key Metric**: Annual revenue of $4M (as of latest data); total funding of ~$1.3B across 8 rounds. - **Notable Investors/Partners**: TRATON GROUP (Scania, MAN, International), Hyundai Motor Company, Iveco Group, Bosch, DSV, Ryder. - **Growth Signals**: - Active trial with Ryder and International on a 600+ mile daily route (I-35 corridor) – 60,000+ cumulative miles, approaching 100 runs. - Recent software upgrades enabling night driving and construction zone capabilities. - Partnered with multiple global OEMs to install SuperDrive on factory-built trucks – no retrofitting required. - 7M+ miles of L4-validated data collected. ## Competitive Advantages - **Asset-light software model**: Zero manufacturing capex – PlusAI is a pure-play software provider, avoiding heavy hardware costs. - **OEM integration**: Factory-installed by partners like TRATON and Hyundai, providing a scalable path to thousands of trucks. - **Proprietary data moat**: Over $500M in R&D investment and 7M+ miles of validated data enable advanced AI models (end-to-end and vision-language-action). - **Capital efficiency**: Path to cash-flow positive in 2027E, with lower OpEx than key competitors. ## Strategic Focus - **Near-term**: Commercial launch of driverless L4 trucks in 2027, targeting revenue from per-mile usage. - **Current revenue generation**: Selling AV data and tools (HyperFoundry) to third parties. - **R&D edge**: Leveraging large AI models and generative AI to continuously improve the virtual driver’s capabilities and expand the Operational Design Domain (ODD). ## Why Work Here - **Culture & ratings**: Employer rating of 4.1/5 (30 reviews), with high marks for work-life balance (4.6), culture (4.7), and career growth (4.6). - **Engineering focus**: 105 technical employees (23% of workforce); active job postings (38) include senior ML infrastructure, perception, planning, simulation, and engineering intern roles. - **Global offices**: HQ in Santa Clara, CA, with offices in Fremont, Cupertino, and Munich, Germany. Workforce spans 8 countries. - **Notable perks**: Opportunity to work on cutting-edge autonomous driving technology with partners like TRATON, Hyundai, and Bosch. Strong talent pipeline from Stanford, CMU, and alumni at Waymo, NVIDIA, Apple. ## Sources 1. [LinkedIn – PlusAI](https://linkedin.com/company/plusai) 2. [CB Insights – PlusAI](https://www.cbinsights.com/company/plusai) 3. [PitchBook – PlusAI](https://pitchbook.com/profiles/company/180375-76) 4. [PlusAI Presentation (April 2026)](https://www.plus.ai/documents/plusai-presentation-april-2026.pdf) 5. 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