---
title: 'Software Engineer - Core Platform at Elorian'
canonical: 'https://feeny.ai/job/software-engineer-core-platform-elorian-palo-alto-6ye393k38760'
type: 'job'
last_seen: '2026-10-23'
---

# Software Engineer - Core Platform at Elorian

- **Company:** Elorian
- **Location:** Palo Alto, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-17
- **Last confirmed live:** 2026-10-23
- **Apply:** https://jobs.ashbyhq.com/elorian-ai-inc/902f441b-6ed6-43ac-bca6-453d959ac7ac

## Job description

## About Us

We are a well-funded, early-stage AI lab focused on building the next generation of frontier multimodal AI models. Founded by former DeepMind researchers, including Andrew Dai, who was previously a leader on Gemini. Our team currently consists of 20 world-class scientists and engineers. We recently raised $55M in seed funding from Striker Ventures, Menlo Ventures, Altimeter Capital, and NVIDIA. We are tackling some of the hardest problems in artificial intelligence, and we are growing fast.

## About the role

We're looking for a software engineer to design, optimize, and scale the core systems that serve our foundational visual reasoning models. Your work will make inference, backend services, and distributed execution faster, more cost-effective, and highly reliable, so our researchers can focus on advancing multimodal model reasoning capabilities rather than managing backend bottlenecks. Our focus is on performant, efficient systems for frontier visual intelligence—both to power real-world, high-throughput applications and to accelerate fundamental research. This role owns the backend and systems software that ensures every deployment, distributed evaluation, and execution pipeline runs seamlessly at scale for our visual foundation models.

## What you will do

- Architect and own the core distributed backend services, APIs, and data processing pipelines that power our visual reasoning model ecosystem
- Solve fundamental 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 designed for high-volume multimodal data workloads
- Lead the technical design for fault tolerance, high availability, and auto-scaling across our entire backend service topology
- Partner closely with research and engineering teams to translate cutting-edge visual AI capabilities into high-performance, developer-facing systems and APIs

## What we are looking for

- 3+ years of software engineering experience building, scaling, and maintaining high-impact distributed production 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 for production systems
- 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 such as C++ and Python
- Track record of shipping mission-critical backend features, eliminating system bottlenecks under heavy load, and operating high-throughput production systems
- Programming languages: C++, Python

## Nice to have

- Direct experience working inside an AI frontier lab, AI research institute, or core platform engineering team supporting foundation model development and production
- Practical experience building production backend systems or data pipelines for multimodal models.
- Programming languages: Rust, Pytorch

Logistics

- Location: Palo Alto, CA (on-site)
- Type: Full-time
- Compensation: $250k – $450k + meaningful equity stake + full health/wellness benefits

## About Elorian

## Company Overview
- **One-liner**: Elorian is an early-stage AI research lab building frontier multimodal AI models with a native ability to reason visually, moving beyond text-dependent systems.
- **Entity Type**: Private (Seed/Series A; $55M raised)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: 2025
- **Founders**: Andrew Dai (Co-founder & CEO), Seth Neel (Co-founder & Founding Researcher), Forrest Huang (Founding Researcher), and others

## Core Business
- Primary industry: Artificial Intelligence / Visual Reasoning Research
- Target customers: B2B, enterprises in robotics, medicine, science, architecture, automotive, satellite imagery, and defense
- Mission or purpose statement: Building systems that natively understand and reason through the visual medium the way humans do, enabling AI to move from simple perception to higher-level reasoning in the physical world.

## Products & Services
- **Frontier Multimodal AI Models**: A research product lab developing new architectures for multimodal reasoning. These models directly interact with and manipulate visual representations (structure, relationships, constraints) rather than translating images into text before reasoning. Potential applications span engineering design, robotics, medical diagnostics, weather monitoring, disaster response, and precision agriculture.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding – $55 million
- **Notable Investors/Partners**: Striker Ventures, Menlo Ventures, Altimeter Capital, with participation from 49 Palms and other investors; advisor and investor Jeff Dean (Google DeepMind Chief Scientist).
- **Growth Signals**: Came out of stealth on April 9, 2026; monthly employee growth of +28.6% (8 employees as of July 2026); website traffic surged +421.6% month-over-month; high-profile founding team from Google DeepMind and Apple; active hiring (Founding Technical Recruiter/Head of Talent).

## Competitive Advantages
- **Unique Approach**: Models are trained to reason directly with visual representations, bypassing the fragile text-dependent two-step process used by current vision-language models. This enables understanding of spatial, structural, and relational complexity that text-only or text-translated systems cannot handle.
- **Founding Team**: Researchers who led breakthroughs in pretraining, data, and vision modeling at Google DeepMind and Apple (including contributions to Gemini). Small, focused team with deep domain expertise.
- **Backing**: $55M from top-tier investors and AI luminaries like Jeff Dean, signaling confidence in the research direction.

## Strategic Focus
- **Visual Reasoning as a Path to AGI**: Elorian believes that native visual reasoning is a critical step toward truly general AI. Current priorities include advancing new training techniques, scaling the team with world-class researchers and engineers, and applying their models to real-world problems in robotics, science, and industry.

## Why Work Here
- **Culture**: Early-stage research lab with a tight-knit team of world-class scientists and engineers. Emphasis on long-term research and pushing the boundaries of AI.
- **Work Policy**: Hybrid workspace – employees engage in a combination of remote and on-site work (Palo Alto office).
- **Perks & Highlights**: Opportunity to work on some of the hardest problems in AI, with direct impact on fundamental research. Strong backing from leading investors allows for significant compute and resources. High growth trajectory with potential for rapid career advancement.

## Sources
1. [elorian.ai](https://elorian.ai/)
2. [linkedin.com](https://www.linkedin.com/company/elorian-ai)
3. [bloomberg.com](https://www.bloomberg.com/news/articles/2026-04-09/ex-google-deepmind-researchers-debut-startup-called-elorian-focused-on-visual-ai)
4. [builtin.com](https://builtin.com/company/elorian-ai-inc)

## Other roles at Elorian

- [Executive Assistant to the CEO](https://feeny.ai/job/executive-assistant-to-the-ceo-elorian-palo-alto-g116f1drd6er) — Palo Alto, CA
- [Webmaster (Full-Time or Contract)](https://feeny.ai/job/webmaster-full-time-or-contract-elorian-remote-4cswxj874bqk)
- [Inference Infrastructure Engineer, Serving](https://feeny.ai/job/inference-infrastructure-engineer-serving-elorian-palo-alto-ec4rcp2xrvr7) — Palo Alto, CA
- [Member of Technical Staff](https://feeny.ai/job/member-of-technical-staff-elorian-palo-alto-g0n7fpjn35q2) — Palo Alto, CA
- [General Interest](https://feeny.ai/job/general-interest-elorian-palo-alto-6w6gkx6aggb4) — Palo Alto, CA