---
title: 'Software Engineer - Bulgaria, Early Career at Deep Infra Inc.'
canonical: 'https://feeny.ai/job/software-engineer-bulgaria-early-career-deep-infra-inc-sofia-8djq5yr8j0nt'
type: 'job'
last_seen: '2026-09-14'
---

# Software Engineer - Bulgaria, Early Career at Deep Infra Inc.

- **Company:** Deep Infra Inc.
- **Location:** Sofia, Bulgaria
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-25
- **Last confirmed live:** 2026-09-14
- **Apply:** https://jobs.gem.com/deep-infra/am9icG9zdDq-zXOswDvcl1SEdAPuzfTG

## Job description

## About DeepInfra

DeepInfra is building the infrastructure layer for the next generation of AI. We believe open-source models are the future, and companies should have full control over their AI stack without being locked into proprietary providers.

Our inference platform serves trillions of tokens every week across hundreds of production workloads. We build everything from GPU infrastructure to the API layer because every millisecond matters.

We are looking for early-career Software Engineers (0-2 years of experience, including internships) to join our team.

## Why this role matters

You’ll work closely with our experienced engineers to design, build, and scale infrastructure for serving top open-source AI models. This role is ideal for recent graduates or junior engineers who want to grow quickly while working on high-impact, real production AI systems.

If you’re excited about AI/ML, have taken related courses or built projects, and want to learn how to ship things at scale - we’d love to meet you.

## What You’ll Do

- Collaborate with engineers to design, develop, and test inference solutions for state-of-the-art AI models.
- Implement, optimize, and evaluate AI models using Python, C++, CUDA, and NCCL (previous exposure helpful - deep expertise not required).
- Monitor and maintain production model-serving systems.
- Work on new features, fix bugs, and contribute to code reviews.
- Participate in daily standups, design reviews, and team discussions.
- Explore new AI/ML techniques and tools, and experiment with improving model performance.
- Try new things. Ship stuff.

## What You Bring

- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field (completed or in final year).
- Strong fundamentals in data structures, algorithms, and software design.
- Proficiency in Python, including experience with AI/ML libraries and frameworks (e.g., NumPy, pandas, SciPy, TensorFlow, PyTorch).
- Experience with AI/ML through coursework, research, personal projects, full-time employment, or internships.
- Familiarity with AI models, Transformers and Diffusers.
- Experience with version control systems (e.g., Git) and agile development methodologies.
- Excellent problem-solving skills, with the ability to debug and optimize code.
- Strong communication and collaboration skills.
- Curiosity, willingness to learn, and desire to build real systems.

Bonus

- Exposure to C++, CUDA, or AI inference.
- Contributions to open-source ML projects.

## Why DeepInfra

- Work on cutting-edge AI model serving - the systems that power the next generation of LLMs and multimodal models.
- Small team, huge impact: your work ships directly to customers.
- Opportunity to learn from engineers building high-performance inference at scale.
- Fast-paced environment with ownership, autonomy, and end-to-end responsibility.

## How we work

Three traits define the people who thrive here, and this role leans on all three.

Initiative. We take ownership and step in where we can add value. Whether it’s starting something new, improving what exists, or helping move ideas forward, we aim to be proactive and thoughtful in how we contribute.

Drive. We’re energized by hard problems. Building AI infrastructure is complex, and we lean into that. We care about doing things well, moving fast, and continuously improving — because solving meaningful challenges is what motivates us.

Grit. Things don’t always work on the first try — and that’s expected. We stay persistent, adapt quickly, and learn as we go. We take setbacks seriously, but not personally, and use them to get better.

## About Deep Infra Inc.

## Company Overview
- **One-liner**: DeepInfra operates a purpose-built AI inference cloud that provides developer-friendly APIs for running open-source and proprietary machine learning models at scale.
- **Entity Type**: Private (Series B)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: September 2022
- **Founders**: Nikola Borisov (CEO), Georgios Papoutsis, and Yessenzhar Kanapin

## Core Business
- **Primary industry/industries**: Artificial Intelligence / Machine Learning Infrastructure
- **Target customers**: B2B; startups, enterprises, and developers needing high-throughput, low-latency AI model inference.
- **Mission or purpose statement**: To provide a reliable, non-lock-in inference provider built on open-source models, giving companies full control over their AI stack with purpose-built, inference-optimized infrastructure from the GPU hardware layer up to the API.

## Products & Services
- **DeepInfra Inference API**: A developer-friendly, OpenAI-compatible API offering access to over 100 open-source and proprietary models (including GLM-5.3-Flash, Kimi K3). Features pay-as-you-go pricing with no long-term contracts.
- **Private GPU Clusters**: Dedicated NVIDIA B300 GPU clusters for enterprise customers, available on 5-year terms at significantly below-market rates (e.g., $1.98/GPU-hr vs. $6.50/GPU-hr on public cloud). Scales from 256 to 5,000 GPUs.
- **Custom Model Hosting**: A service allowing customers to deploy their own models on DeepInfra’s optimized infrastructure.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed for the Series B round.
- **Key Metric (Funding)**: Total funding of approximately **$153.6M** across 5 rounds, according to LinkedIn. The most recent round was a **$107M Series B** co-led by 500 Global and Georges Harik, with participation from A.Capital Ventures, Crescent Cove, Felicis, NVIDIA, Peak6, Samsung Next, Supermicro, and Upper90.
- **Notable Investors/Partners**: NVIDIA, Felicis, 500 Global, Samsung Next, Supermicro, Peak6, A.Capital Ventures, Crescent Cove, Georges Harik.
- **Growth Signals**: 
    - Processes over **four trillion tokens per week**.
    - **25x token volume growth** since Series A.
    - Workforce grew **312.5% year-over-year** (to 27 employees).
    - LinkedIn follower count grew **160.7% Year-over-Year**.
    - Revenue estimated by LinkedIn at **$3.8M annually** (likely early-stage metric).

## Competitive Advantages
- **Vertically Integrated Infrastructure**: Unlike many competitors that run on top of public clouds, DeepInfra owns and operates its own GPU hardware in US-based data centers, giving it direct control over cost and performance.
- **Cost Leadership**: Advertising pricing up to 70% cheaper than public cloud alternatives for dedicated clusters (e.g., $1.98/GPU-hr for B300).
- **Enterprise Security & Compliance**: SOC 2 and ISO 27001 certified with a strict zero data retention policy, ensuring data privacy.
- **Open-Source Focus**: DeepInfra is built on the belief that open-source models are the future, offering a wide variety (100+ models) without vendor lock-in.

## Strategic Focus
- **Scale and Product Expansion**: The Series B funding is specifically earmarked for scaling the "inference cloud," likely meaning expanding GPU capacity and geographic footprint.
- **Supporting Agentic and Complex Workloads**: The platform is optimized for long-horizon agent tasks, coding, and complex multimodal workflows, indicating a focus on the most compute-intensive and emerging AI use cases.
- **Enterprise Deployments**: The offering of dedicated, long-term GPU clusters signals a push for larger, more stable enterprise contracts.

## Why Work Here
- **Culture & Impact**: DeepInfra operates at the core of the AI infrastructure boom. Employees get to work on hard performance engineering problems (every millisecond matters) that directly affect how AI products are built and scaled across the world.
- **Engineering DNA**: The leadership previously built the backend infrastructure for imo messenger, a platform with 1 billion+ downloads. The current team is engineering-heavy (45% of staff in technical roles) and is distributed across the US and Europe (Bulgaria, Poland, Turkey, Serbia).
- **Workplace**: The primary office is in Palo Alto, CA, with an **OnSite Workspace** policy (employees work from the physical office).
- **Perks & Growth**: As a high-growth startup (312.5% YoY headcount growth), DeepInfra offers significant opportunities for ownership and rapid career advancement.

## Sources
1. [deepinfra.com](https://deepinfra.com/)
2. [deepinfra.com](https://deepinfra.com/about)
3. [linkedin.com](https://linkedin.com/company/deep-infra)
4. [builtin.com](https://builtin.com/company/deep-infra-inc)
5. [cbinsights.com](https://www.cbinsights.com/company/deepinfra)

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