Jobs at Djinni

We are looking for a Senior Embedded Systems Integration Engineer to join a defense project focused on precision turret systems operating under strict real-time, hardware, and field reliability constraints.

You will be responsible for building and integrating the embedded layer that connects control algorithms, sensor inputs, edge computing platforms, and targeting/stabilization subsystems into a cohesive turret platform. This role is ideal for an engineer who can work close to hardware, understand system behavior end-to-end, and contribute to control logic, sensor processing, and platform integration.

You will work directly on defense projects for Ukraine, with a short path from implementation to field testing and real-world deployment.
 

What We Offer

• Direct contribution to defense projects for Ukraine.
• Collaboration with experts in embedded systems, robotics, control systems, sensors, and defense technology.
• Ownership of key architectural and integration decisions.
• Hands-on work with real hardware, field testing, and deployed systems.
• Competitive compensation based on experience.
• Temporary military service exemption for work on defense-critical projects.

Requirements
 

Core Technical Skills - Required

• 5–8 years of commercial embedded software development experience.
• Degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, Robotics, or a similar technical field.
• Strong Linux embedded development experience.
• Hands-on experience with NVIDIA Jetson, Raspberry Pi, ARM-based platforms, or similar edge devices.
• Solid C++14/17/20 skills.
• Python for tooling, prototyping, automation, and data analysis.
• Experience with hardware bring-up, peripheral integration, driver configuration, GPIO/UART/I2C/SPI/CAN/Ethernet interfaces.
• Understanding of real-time constraints, latency budgeting, system timing, and deterministic behavior.
• Experience with control algorithms, stabilization logic, or motion/control systems.
• Strong mathematical background: linear algebra, geometry, trigonometry, coordinate systems, filtering, signal processing basics.
• Experience integrating and processing data from sensors at the system level.
• Ability to work independently with minimal supervision and make engineering decisions in uncertain hardware environments.
   

Sensor & Platform Experience

The ideal candidate should have hands-on experience with several of the following areas:

• Edge computing platforms: Jetson Nano / Xavier / Orin, Raspberry Pi, ARM SoCs.
• Short-range radar integration and data processing.
• Audio sensors, microphones, acoustic arrays, or sound-based detection systems.
• General audio/signal processing: filtering, noise reduction, feature extraction, direction estimation, or event detection.
• Camera or optical sensor integration as part of a broader sensor stack.
• IMU, encoders, motor controllers, or positioning sensors.
• Sensor synchronization, timestamping, and alignment.
• Low-level communication with hardware modules and external devices.
• Field-oriented debugging of embedded systems.
   

Will Be a Plus

• Experience with turret systems, PTZ platforms, stabilized gimbals, robotics, drones, or unmanned systems.
• Experience with EO/IR cameras, thermal cameras, night vision, or optical tracking systems.
• Knowledge of PID control, Kalman filters, sensor fusion, target tracking, or stabilization algorithms.
• Experience with radar signal processing or acoustic localization.
• ROS/ROS2 experience.
• Experience with GStreamer, V4L2, DeepStream, OpenCV, or edge AI pipelines.
• Experience with model deployment on edge devices.
• Mission-critical, defense, aerospace, robotics, or safety-critical systems experience.
• Remote telemetry, diagnostics, logging, and monitoring tooling.
• Experience with field testing and debugging hardware in non-lab conditions.
   

Responsibilities

• Develop and integrate embedded software components for the turret platform.
• Work with Jetson, Raspberry Pi, and other edge hardware platforms.
• Integrate sensors including short-range radars, sound sensors, optical sensors, IMUs, and other peripheral devices.
• Implement and tune control logic for turret movement, stabilization, and positioning.
• Support development and integration of targeting, tracking, and sensor alignment logic.
• Process and expose sensor data to higher-level targeting, detection, or control subsystems.
• Work with mathematical models related to geometry, aiming logic, coordinate transformations, filtering, and timing.
• Build reliable communication between embedded modules, sensors, control boards, and compute platforms.
• Collaborate with CV, robotics, hardware, and control teams to ensure clean and timely data delivery.
• Participate in hardware selection, architecture discussions, and integration planning.
• Debug timing, latency, synchronization, and reliability issues across the embedded stack.
• Support field testing, troubleshooting, calibration, and system maintenance.
• Ensure robustness and reliability of deployed systems under field conditions.
   

Ideal Candidate Profile

You are a strong embedded engineer who is comfortable working close to hardware and understands how real systems behave outside of perfect lab conditions. You can connect sensors, debug interfaces, analyze timing, reason about control logic, and translate mathematical or algorithmic requirements into reliable embedded software.

You do not need to be only a computer vision engineer. This role is broader: it combines embedded Linux, edge platforms, sensor integration, control systems, signal processing, and applied mathematics for real defense hardware.

Are you an experienced technical leader ready to shape the future of scalable AdTech platforms? We are seeking a Principal Engineer to drive architectural transformation and lead high-impact projects for a Sweden-based industry innovator.

This is a senior-level role with full remote flexibility across Europe. At Sigma Software, we partner with global leaders to deliver cutting-edge technology solutions that automate and optimize revenue-focused operations. You will work on strategic initiatives, collaborate with cross-functional teams, and influence technical direction in a fast-paced, evolving domain.

Why join us? You’ll have the opportunity to work on globally recognized platforms, contribute to architectural innovation, and enjoy a supportive culture with challenging projects.
 

CUSTOMER

Our Customer is a Swedish AdTech company that transforms the way publishers and advertisers interact. They provide state-of-the-art self-serve advertising platforms that enable seamless, direct transactions between advertisers and some of the world’s largest publishers. Their mission is to make advertising more accessible, automated, and efficient through innovative technology. Together, we serve globally recognized clients, including TripAdvisor, Bloomberg, The Washington Post, Opera, Dow Jones, etc. 

PROJECT

The project represents a strategic transition to a Platform-First, API-driven architecture. The company is moving away from monolithic, client-specific codebases to a standardized ecosystem. As a Senior TypeScript/Vue.js Developer, you will be the technical visionary for the platforms, ensuring the technology remains high-performing and scalable.

Job Description

• Act as a key technical liaison between business and engineering teams, translating commercial goals into actionable technical solutions
• Evaluate publisher technical environments and design scalable, maintainable architectures
• Prepare client-ready solution proposals, including features, integrations, and tools
• Lead cross-functional delivery teams, including developers, designers, DevOps, and technical PMs
• Provide architectural oversight throughout the development lifecycle to ensure continuity and quality
• Manage distributed teams across multiple time zones
• Mentor engineers, conduct code reviews, and guide technical growth
• Make architectural decisions at component and plugin levels, balancing trade-offs and communicating choices clearly

Qualifications

• At least 6+ years of hands-on experience in JavaScript / TypeScript, Vue.js, and Node.js
• Experience in microservices architecture and distributed systems integration
• Hands-on experience with AWS Lambda or similar serverless technologies
• Deep understanding of plugin-based systems and extensibility points
• Proven ability to customize and extend existing solutions without breaking core functionality
• Experience in AdTech environments with evolving requirements
• Knowledge of Vite, Cypress, and Vitest for modern development workflows and testing
• Experience with AWS S3 and CloudFront for scalable storage and content delivery
• Strong commercial acumen and ability to translate business goals into technical infrastructure
• Fluent English communication skills for enterprise stakeholder management

WILL BE A PLUS

• Experience with other serverless frameworks (e.g., Azure Functions, Google Cloud Functions)
• Familiarity with enterprise e-commerce platforms
• Knowledge of performance optimization and security best practices
• Prior work in media publishing technology solutions

PERSONAL PROFILE

• Proactive, solution-oriented mindset
• Strong problem-solving skills and ability to unblock dependencies
• Comfortable working in fast-paced environments with evolving requirements
• System-thinking approach — seeing beyond individual tasks to the bigger picture

We are seeking a highly motivated and technically proficient QA Automation Engineer to join our dedicated testing team. You will play a crucial role in ensuring the successful and high-quality delivery of software products for our client, a prominent American multinational automaker.
This position offers a challenging and dynamic environment within a multicultural international team, demanding strong problem-solving skills and a proactive approach.

Responsibilities

Design, develop, and execute robust automated test scenarios on a daily basis, utilizing Python as the primary scripting language.

Framework Management: Actively contribute to a new and maintain the existing automation frameworks

Ensure comprehensive test coverage by writing detailed test scenarios

Engage in specialized testing of automotive systems, including validation of in-vehicle components

Work closely with developers, business analysts, and product owners within the Scrum framework, actively participating in sprint planning and daily stand-ups.

Skills

Must have

Prior work or experience with embedded or automotive systems, especially in the context of multi-ECU scenarios.

Experience developing, debugging, and maintaining Python code for automated testing.

Thoroughly analyze logs, and quickly resolve issues within automated testing pipelines.

Knowledge managing Python virtual environments and dependencies.

Knowledge Git for version control and JFrog Artifactory for artifact management in a collaborative, automated test environment.

Ability to read and follow technical documentation in English.

Strong communication skills for collaboration with developers, testers.

Nice to have

Experience with test automation for automotive multimedia, connectivity, and driver-assistance features.

Hands-on expertise with modern test automation frameworks, especially those supporting Behavior-Driven Development (BDD) and keyword-driven testing.

Skilled in translating requirements and Gherkin scenarios into robust, executable automation logic.

Ability to analyze, optimize, and troubleshoot both hand-written and AI-generated Python test scripts for reliability and maintainability.

Hands on experience with testing of ADAS features such as Camera, Parking Assist, and Driving Assistance modules.

Exposure to automotive communication protocols (e.g., CAN, LIN, Ethernet).

We are looking for a Computer Vision / C++ Engineer to join our team and work on real-world computer vision systems.

Responsibilities:
 

- Develop and maintain computer vision solutions in C++;

- Work with geometric computer vision (projective and epipolar geometry);

- Implement classical CV algorithms (demosaicing, tracking, optical flow, color calibration, image enhancement);

- Fine-tune existing deep learning models (e.g. YOLO) and train custom models using PyTorch;

- Deploy DL models in C++ using inference runtimes (ONNX Runtime, OpenCV DNN or similar);

- Implement model output decoding and post-processing;

- Develop camera-related software;

- Write efficient multi-threaded code.

Requirements:
 

- Strong C++ skills;

- Solid background in computer vision;

- Practical experience with deep learning for CV and PyTorch;

- Experience with deploying models to C++ applications and inference runtimes;

-Experience with multi-threaded programming and camera systems.

About EVIQO

EVIQO Technologies is a fast-growing product company in the EV charging industry focused on the U.S. market.

We design and manufacture reliable residential EV chargers and are building an ecosystem of products that make EV charging simple, safe, and accessible. Our products have been featured in Forbes, The New York Times, Car and Driver, ZDNET, and other leading media outlets.

We are currently looking for a Business Development & Partnerships Specialist who will be responsible for growing our partner sales channel and building long-term strategic partnerships.

About the Role

The primary goal of this role is to identify new partnership opportunities and grow existing partnerships that drive qualified traffic to EVIQO's Amazon listings and the company's website, ultimately increasing sales.

This role is also responsible for analyzing partnership performance, testing new growth hypotheses, and identifying the most effective ways to scale the partner channel. Increasing brand awareness through strategic partnerships is considered an additional benefit.

Expected Results

Within the first 12 months, you will be expected to:

• Deliver significant sales growth through the partnership channel.
• Expand the partner network by attracting new partners with proven sales potential.
• Achieve strong utilization of available resources and consistently meet sales targets starting from the third month.
• Establish a structured reporting process and a continuous hypothesis-testing framework beginning from the second month.

Who We're Looking For

Success in this role requires efficiency - the ability to achieve meaningful results with a high level of productivity and minimal wasted effort.

Our ideal candidate is proactive, highly organized, learns quickly, and is willing to work hard to achieve ambitious goals. We're looking for someone who can independently identify opportunities, build valuable partnerships, negotiate commercial agreements, and communicate confidently with partners.

What You'll Do

• Identify, engage, and onboard new partners to promote and sell EVIQO products.
• Independently source potential partners through multiple outreach channels.
• Develop and strengthen relationships with existing partners to maximize performance.
• Negotiate commercial terms and partnership agreements.
• Design, launch, and test new partnership models.
• Analyze partnership performance, commission structures, ROI, and overall business impact.
• Calculate partnership economics and make data-driven decisions based on financial metrics.
• Build strategic partnerships and long-term collaborations with companies, brands, content creators, and industry influencers.
• Generate new ideas to grow the partnership channel and proactively drive improvements.
• Work with Amazon Affiliates, Creator Partnerships, Influencer Partnerships, and other customer acquisition channels.
• Continuously test and optimize new approaches to partner acquisition and partner development.

Requirements

• Experience in Business Development, Partnerships, Affiliate Marketing, Sales, or Influencer Marketing.
• Strong negotiation skills and the ability to build long-term business relationships.
• Solid understanding of unit economics, ROI, P&L, commission models, and key business metrics.
• English proficiency at B2 level or higher.
• Practical experience conducting business communication in English, including negotiations, meetings, and written communication with partners, without a language barrier or hesitation in reaching out to new contacts. 

Why Join EVIQO

• Work in a fast-growing international product company.
• Make a direct impact on business growth.
• Freedom to take ownership and implement ideas.
• Competitive compensation and growth opportunities.
• Fully remote work format.
• Working schedule: 10:00–19:00 (Kyiv time).
• 15 working days of paid vacation per year (available after 6 months of employment).
• 5 paid sick days without medical certificates.
• Sports and professional development compensation after successful completion of the probation period.

We’re a Y Combinator-backed startup building the AI infrastructure layer for the IT services industry: the platform IT providers use to deliver governed AI to the small businesses they manage, and to build and run AI agents for them on the same rails. 

It’s a genuine blue-ocean space, no incumbent has built this yet - while demand is already strong and validated, with small businesses paying thousands of dollars per month for AI delivered this way today. 

The founder previously built an AI coding platform to 2M+ users. You’d join as the founding engineer at the exact moment the category is forming.

What you’ll build

You’ll be the first engineering hire, working directly with the founder and owning large parts of the platform architecture. The system has two tightly connected halves:

1. AI access & governance infrastructure (the gateway)
    •    A multi-tenant AI gateway: an Anthropic/OpenAI-compatible API layer that popular AI tools (Claude Code, Codex, Gemini CLI, and others) are pinned to via managed endpoint configuration
    •    Identity binding: every request tied to a real employee identity via Microsoft Entra ID (OIDC/SAML federation), with per-tenant isolation across hundreds of end-client organizations
    •    Usage metering, pooled credit management, and per-tenant billing
    •    Audit logging, policy enforcement, and sensitive-data controls at the request layer
    •    An endpoint agent that deploys and pins tool configurations on managed devices and detects drift

2. Agent runtime & builder infrastructure
    •    A tenant-isolated runtime where AI agents execute with scoped, vaulted credentials and inherit the permissions of the employee or role they act for
    •    A managed MCP (Model Context Protocol) server registry: sanctioned connectors to business systems, scoped per tenant
    •    Agent observability: replayable execution logs, approval workflows for actions, blast-radius controls
    •    The builder layer on top: templates and an authoring flow that lets non-experts assemble agents that are safe by construction

This is real infrastructure work: multi-tenancy, identity, credential security, gateways, and billing, with an AI-native product on top.

What we’re looking for

Who you are
    •    5+ years of backend / platform engineering experience
    •    You’ve shipped something end to end. A side project, indie product, or work project where you personally took it from idea to production and real users: architecture, code, deployment, and operations
    •    Daily user of agentic coding tools (Claude Code, Codex, Cursor, or similar), you build with them, understand how they call models and tools under the hood, and can reason about routing, configuration, and extending them
    •    Comfortable building and owning everything alone, you don’t need a team around you to be effective. You can take a problem from design through implementation, deployment, and operations solo, and stay productive without structure, standups, or someone else unblocking you
    •    Comfortable with deep product ambiguity: there is no incumbent to copy in this category. We’ll be designing the product and the architecture from first principles, choosing the stack, making design calls no one has made before, shipping fast, and owning outcomes end to end

Technical requirements
    •    Experience building or operating API gateways, proxies, or high-throughput request-routing services, hands-on with Nginx (or comparable reverse proxies), SSL/TLS (certificate management, termination, mutual TLS), and production traffic routing
    •    Strong in at least one of: Python, TypeScript, or Rust, and comfortable across 3–5 programming languages overall
    •    Production experience with a web framework (Django, Next.js, React, or similar)
    •    Solid database experience, production work with a relational database (PostgreSQL preferred, or MySQL/similar): schema design, query performance, and migrations on live systems
    •    Experience with vector databases (pgvector, Pinecone, Qdrant, Weaviate, or similar), embeddings, similarity search, and retrieval pipelines
    •    Strong cloud computing experience (AWS, GCP, or Azure): networking, load balancing, container orchestration, and running production workloads - you’ve operated real systems, not just deployed demos
    •    Hands-on experience with LLM APIs (Anthropic, OpenAI) and MCP (Model Context Protocol)

Nice to have
    •    Startup experience, you’ve worked at an early-stage company (or founded one) and know what shipping with a small team under real constraints feels like
    •    Experience building multi-tenant SaaS systems, tenant isolation as an architectural property
    •    Experience with auth and identity: OAuth2 / OIDC / SAML, especially Microsoft Entra ID (Azure AD) integration
    •    Experience with billing/metering systems (usage-based pricing, Stripe, etc.)
    •    Background in security products (DLP, EDR, SASE) or IT management tooling for service providers
    •    Experience with device management / endpoint agents (Intune, RMM tooling)

What we offer
    •    Founding-level equity - meaningful ownership, not a token grant
    •    Competitive salary (discussed openly at the first call, benchmarked for senior/staff-level engineers)
    •    Direct work with the founder - no layers, no legacy code, you shape the architecture from day one
    •    A concrete, revenue-backed problem: validated demand, not a research project
    •    Hardware/co-working budget and paid time off

Hiring process
    1.    Intro call (40 mins) - introductions, mutual fit, comp expectations
    2.    Async task (2-3 hours)
    3.    Paid trial task (half a day, compensated) - a scoped piece of real platform work
    4.    Offer - paid full-time contract for the first 3 months, then conversion to the permanent founding role with equity. This is a mutual trial: you evaluate us as much as we evaluate you. On conversion, equity vesting is backdated to your start date.

Total process time: under two weeks.

For the first few months concentrated in-person time in Lviv is required while we get V1 built. Apartment and travel covered, and we're flexible on the shape.