Software Engineer

About Stack:

Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.

Job Description: Building and maintaining vision language model (VLM) based backend search service that utilizes vector databases. Building and maintaining data pipelines for search services using Python, PyTorch, REST, and gRPC. Building our search frontend using Typescript, React, gRPC and Kubernetes. Software development in Python, Pytorch, Rest, Kubernetes, Airflow, and Flyte. Building robust geospatial querying infrastructure using OpenstreetMap, Mapbox, and Postgres. Building data infrastructure using Trino, DBT, SQLMesh, and Apache Iceberg. Developing cloud infrastructure using Terraform, AKeyless, and internal tooling. Productionalize our VLM data pipelines by building robust, fault tolerant and safe AI solutions. Must live within reasonable commuting distance of HQ and appear in office as required. Domestic travel required, 25%.

Requirements: Bachelor’s degree or foreign degree equivalent in Computer Science or related field and five (5) years of experience in Computer science, specifically in Artificial Intelligence for autonomous vehicles or related role or in the job offered.

Skills: Experience and/or education must include:
1. Utilizing PyTorch, JAX, VLM models, OpenStreetMap, PostGis to process multimodal sensor data into vector databases and perform geospatial search queries.
2. Developing backend services for data searches using Python,Postgres, GoLang, Elastic Search and Kubernetes.
3. Developing web frontends for data searches using React ,Typescript and Mapbox
4. Experience with performance tuning databases for search queries using Postgres and ElasticSearch.
5. Developing frontends of search engines that rely on federated queries using React Query Builder, React, and other related frontend technologies.
6. Building data infrastructure layers to support search data using Postgres and ElasticSearch.
7. Building core infrastructure for data search services using Terraform, 1 password, ArgoCD and internal tooling.

Salary: $140,754 - $198,000/year; 40 hours/week

Location: 1001 Technology Drive, Mount Pleasant, PA 15666. Must live within reasonable commuting distance of HQ and appear in office as required.

Contact: Please reference Job ID: 8946169

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Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.