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Salary
$120k – $200k per year
Location
Hybrid (Santa Clara, United States)
Seniority
Senior
Visa
H-1B filings in 12 months: 5 · for this role: 2 · green card filings: 4
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jul 31, 2026. PlusAI scores C on the Alion truth index.

Overview
Company
Impact
Profile match
PlusAI is an autonomous driving technology company headquartered in Santa Clara, California, that develops SuperDrive virtual driver software for factory-built autonomous heavy trucks together with truck makers, plus the HyperFoundry AI data platform. Founded in 2016, it runs a testing facility in Fremont and operations in Texas, keeps a European head office in Munich, and in 2025 agreed to go public through a merger with Churchill Capital Corp IX. Its openings are mainly for research and machine learning engineers in motion planning, reinforcement learning and vision-language-action models, software verification and validation engineers, data engineers and program managers.
Backed by Notable Capital

Our autonomous-driving fleet generates petabyte-scale sensor and system data. In this role, you will own critical parts of the path that makes this data reliable and useful-from high-throughput recording on the vehicle to transfer, validation, cataloging, and efficient access for replay, analytics, and machine learning. You will work primarily in modern C++ and Python, solving systems challenges across resource-constrained vehicle computers and large-scale offline infrastructure. We welcome engineers from systems, robotics, storage, or data-infrastructure backgrounds; prior autonomous-vehicle experience is helpful but not required.

We are open to candidates at either the Software Engineer or Senior Software Engineer level. Level will be determined by experience, technical depth, scope of ownership, and demonstrated impact. You do not need experience with every technology in our stack; we value strong fundamentals, ownership, and the ability to learn.

Responsibilities:

  • Design and evolve high-throughput C++ systems that continuously record vehicle sensor and runtime data, selectively capture events, and collect system telemetry while operating safely under CPU, memory, disk, and network constraints

  • Build reliable Python data-plane services and libraries for vehicle-data transfer, ingestion, validation, domain-specific format conversion, metadata extraction, cataloging, and storage lifecycle management

  • Evolve versioned vehicle-data formats and their C++ and Python APIs, including indexing, serialization, compression, schema evolution, and backward compatibility

  • Evolve columnar and lakehouse representations and access APIs for vehicle data, improving scalability and performance for fleet-scale mining, replay, and analytics

  • 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 or a related technical field, or equivalent practical experience

  • Programming experience in modern C++ and working proficiency in Python for services, libraries, and tooling

  • Linux systems knowledge, including concurrency, memory and resource management, filesystem and storage I/O, networking, debugging, and performance profiling

  • Self-driven with a strong sense of ownership: a quick learner who is eager to take responsibility and drive projects forward end to end

Preferred Skills:

  • Familiarity with protobuf, gRPC, compression or media codecs, and native C++/Python bindings

  • Experience with autonomous vehicles, robotics, ROS or ROS 2, robotics log formats such as rosbag or MCAP, or other high-throughput recording and telemetry systems

  • Experience with columnar data formats or lakehouse table technologies such as Parquet, Delta Lake, or Apache Iceberg

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