Software Engineer – Core Platform

Elorian AI

. Architect and own core distributed backend services, APIs, and data execution pipelines powering the visual reasoning model ecosystem .

Posted 10/17/2026full-timePalo Alto • California • United StatesMid-LevelSenior💰 $300,000 - $450,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and optimizing distributed backend systems, focusing on high concurrency, fault tolerance, and low-latency performance. Proven ability to manage large-volume data architectures and collaborate with cross-functional teams to deliver high-impact solutions.

Highest-signal resume keywords

Distributed Systems PrinciplesEvent-Driven ArchitecturesHigh Concurrency ManagementBackend Systems DevelopmentData Pipeline Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringDistributed Backend SystemsData Execution PipelinesFault-Tolerant DesignHigh-Throughput Traffic ManagementStreaming FrameworksTask SchedulingLow-Latency CommunicationModern Backend LanguagesSystem Bottleneck Elimination

Industry Keywords

Visual AIAI ResearchMultimodal Data WorkloadsHigh AvailabilityAuto-Scaling

Tech Stack

Tools & technologies

Distributed Systems

About the role

Key responsibilities & impact

Architect and own core distributed backend services, APIs, and data execution pipelines powering the visual reasoning model ecosystem
Solve scale, concurrency, and reliability challenges across large-scale distributed clusters to achieve maximum throughput and sub-second latency
Build event-driven streaming frameworks, distributed task scheduling, and state management systems for high-volume multimodal data workloads
Lead technical design for fault tolerance, high availability, and auto-scaling across the backend service topology
Partner with research and engineering teams to translate cutting-edge visual AI capabilities into high-performance, developer-facing systems and APIs

Requirements

What you’ll need

3+ years of software engineering experience building, scaling, and maintaining high-impact distributed backend systems handling massive data volumes and high-throughput traffic
Deep understanding of distributed systems principles, high concurrency, event-driven architectures, and fault-tolerant design at scale
Proven track record of managing and optimizing large-volume data architectures, including distributed task queues, streaming pipelines, and low-latency communication frameworks
Strong proficiency in modern systems/backend languages
Track record of shipping mission-critical backend features, eliminating system bottlenecks under heavy load, and operating high-throughput production systems
Ability to work from the Palo Alto office on a regular basis
Nice to have: Direct experience working inside an AI frontier lab, AI research institute, or core platform engineering team supporting foundation model development
Nice to have: Practical experience building backend systems or data pipelines for multimodal models

Benefits

Comp & perks

Meaningful equity stake
Full health/wellness benefits