Senior Engineering Manager - Accelerated Compute Memory Systems at Pryon

Boston, Massachusetts, United States

Pryon Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AI, High-Performance Computing, Enterprise SoftwareIndustries

Requirements

  • 10+ years in software engineering, 5+ years in management roles with large-scale AI/ML systems and infrastructure
  • Expert-level proficiency in Python and Golang, with 5+ years building production distributed systems
  • Experience with orchestration frameworks (Kubernetes, Ray, Dask)
  • Proficiency with vector databases (Pinecone, Weaviate, Qdrant, or similar)
  • Experience with message queuing systems (Kafka, Pulsar, RabbitMQ)
  • In-depth knowledge and hands-on experience building scalable distributed architectures and high-performance compute systems
  • Proven experience in multimodal ingestion pipelines within RAG platforms
  • Direct experience in designing, fine-tuning, and optimizing LLMs for ingestion and retrieval workloads
  • Previous success managing engineering teams delivering production-grade, HPC-scale RAG systems
  • Deep understanding of infra domains: compute, storage, networking, observability, security, disaster recovery, and cost management
  • Familiarity with HPC cluster management software such as Slurm
  • Familiarity with cloud platforms (AWS, Azure, GCP) and/or on-prem datacenter operations

Responsibilities

  • Build and lead a team delivering the ingestion, retrieval, and inference layers that will power mission-critical deployments for commercial and federal entities with millions of public users
  • Architect and deliver horizontally scalable, fault-tolerant systems capable of handling billions of documents and burst loads of 30K+ concurrent users
  • Guide implementation of multimodal ingestion pipelines (e.g., PDF, HTML, DOCX, JSON, XML, PPTX, TIFF)
  • Oversee design and optimization of LLM-driven data ingestion and retrieval workflows
  • Own optimization and tuning of high-throughput, low-latency production environments via async orchestration frameworks
  • Establish performance benchmarking, compliance frameworks, and automated testing for scale
  • Balance technical leadership with people leadership, guiding architecture decisions, while also scaling and mentoring a high-performing team
  • Collaborate cross-functionally with Product, Executive Leadership, and Customer Success

Skills

HPC
LLM
RAG
Retrieval-Augmented Generation
Multimodal Ingestion
Async Orchestration
Scalable Systems
Fault-Tolerant Systems
Performance Benchmarking
Automated Testing
Natural Language Processing
Software Engineering
Team Leadership

Pryon

AI platform for enhancing information access

About Pryon

Pryon provides an AI-powered platform that helps organizations reduce "knowledge friction," which is the time employees waste searching for information across various formats and locations. The platform uses technologies like Computer Vision, Optical Character Recognition, and Large Language Models to read and understand content, creating a "Knowledge Fabric" that serves as a reliable source of information. This allows employees to quickly access the data they need, improving productivity and operational efficiency. Pryon operates on a subscription-based model, charging clients based on the number of users and data processed, which ensures a steady revenue stream. The goal of Pryon is to streamline information access within organizations, enabling employees to focus on problem-solving rather than searching for information.

Raleigh, North CarolinaHeadquarters
2017Year Founded
$132.8MTotal Funding
SERIES_BCompany Stage
Enterprise Software, AI & Machine LearningIndustries
51-200Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
401(k) Retirement Plan
401(k) Company Match
Unlimited Paid Time Off

Risks

Rapid AI advancements could render Pryon's technology outdated without continuous innovation.
Reliance on Oracle Cloud Infrastructure poses risks if service agreements change.
Complex enterprise content challenges the accuracy of Pryon's Retrieval-Augmented Generation solutions.

Differentiation

Pryon transforms unstructured data into machine-readable formats with its Ingestion Engine.
The company offers a no-code AI platform, minimizing operational disruptions for clients.
Pryon's Retrieval Engine provides secure, scalable RAG solutions for complex enterprise content.

Upsides

Pryon's partnership with Carahsoft opens new revenue streams in the public sector.
Inclusion in the 2024 CB Insights AI 100 list boosts Pryon's visibility and investor appeal.
Oracle Cloud Infrastructure selection is expected to double Pryon's AI research productivity.

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