Senior Software Engineer, ML Platform

Stack AV

. Architect next-generation multimodal semantic search and data discovery platforms for autonomous driving development using AI-assisted software engineering .

Posted 11/12/2026full-timeRemote • Pennsylvania • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting multimodal semantic search and data discovery platforms, with a strong focus on AI-assisted software engineering and real-time data processing. Proficient in developing scalable infrastructure and optimizing machine learning models for autonomous driving applications.

Highest-signal resume keywords

Semantic Search Infrastructure DevelopmentReal-Time Data ProcessingVector Database ManagementMachine Learning Application DevelopmentC++ and Python Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning PlatformsData MiningMultimodal Data IndexingModel Training InfrastructureModel OptimizationBatch ProcessingStream ProcessingC++ ProgrammingPython ProgrammingLarge Data Processing Pipelines

Soft Skills

Technical Discussion FacilitationTrade-Off ArticulationAlignment Achievement

Tools & Technologies

RaySparkLanceDBVector DatabasesAI-Assisted Software Engineering

Industry Keywords

Autonomous DrivingData Curation WorkflowsMultimodal Video/Image/Audio EmbeddingsPerception and Decision-Making Domains

Tech Stack

Tools & technologies

PythonRaySparkC++

About the role

Key responsibilities & impact

Architect next-generation multimodal semantic search and data discovery platforms for autonomous driving development using AI-assisted software engineering
Investigate and apply frontier large language models, visual language models, and state-of-the-art Retrieval Augmented Generation techniques
Build agentic data mining, semantic search, and data curation workflows
Develop platform infrastructure for real-time querying, vector databases, and batch/stream processing using Ray, Spark, LanceDB, or similar technologies
Deliver end-to-end data mining solutions spanning onboard C++ and offboard ML and data infrastructure
Develop real-time semantic search services for text, images, and videos and vector databases
Identify issues in existing ML infrastructure and improve system performance
Build low-latency, high-throughput batch or stream processing pipelines
Drive technical discussions across multiple organizations and deliver timely solutions
Write readable, high-performance Python and C++ code

Requirements

What you’ll need

Experience with both ML platforms and building ML-based applications
5+ years of relevant domain experience
Proven track record of building scalable, reliable infrastructure in a fast-paced environment
Deep understanding of design trade-offs and ability to articulate trade-offs and achieve alignment
Hands-on experience developing semantic search infrastructure
Experience generating multimodal video/image/audio embeddings
Experience managing vector databases
Experience with multi-modal data indexing, model training infrastructure, model optimization, or large data processing pipelines
Experience building ML models or infrastructure in autonomous vehicles, perception, and decision-making domains is desirable but not required
Residence, U.S. person status, and/or citizenship status may be subject to verification due to U.S. national security and export-control requirements

Benefits

Comp & perks

Equal opportunity workplace
Culture of inclusion, entrepreneurship, and innovation
AI-powered Talent Matching tool used to compare applications against job requirements