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We are seeking candidates with mechanical design expertise, particularly in the development and integration of electronic systems.

• Design and development of mechanical components and wiring details for systems

• Efficient application of fundamental mechanical design and manufacturing techniques

• Proficient knowledge in selecting appropriate materials based on system component

• Design of mechanical interfaces for electrical and electronic units, ensuring their packaging

meets military standards - and environmental resilience

• Extensive and proficient use of parametric design techniques in 3D CAD software

• Execution of GD&T and tolerance analysis

• Conducting structural and dynamic analysis to ensure system reliability and performance

• Performing thermal analysis to evaluate and manage heat distribution and dissipation in systems

• Utilization of wiring modules within 3D CAD software

• Adherence to wiring standards and protocols like IPC/WHMA-A-620 and IPC J-STD-001 standards

• Construction and management of product trees in 3D CAD software

• Preparation of detailed technical drawings for manufacturing

• Production management and coordination with production teams

• Integration of mechanical and wiring components into systems

• Advanced proficiency in MS Office applications

• Continuous improvement and optimization of mechanical and wiring designs

• Compliance with safety and regulatory standards

• Bachelor’s degree in Mechanical Engineering, Mechatronics Engineering, or Aerospace

Engineering from an accredited university

• Citizenship of the Republic of Turkey

• Strong analytical and problem-solving skills

• Excellent communication and teamwork abilities

• Ability to work independently and manage multiple tasks efficiently

• Experience in managing defense industry projects and a thorough understanding of military

• Knowledge of advanced manufacturing processes and technologies

• Experience with project management and coordination

• Certification in relevant CAD software

• Competitive salary and a comprehensive benefits package, including health insurance and fuel support.

• Continued support for candidates currently enrolled in a master's or doctoral program in a related field.

• Opportunities for continuous professional growth and skill development.

• Engage in a collaborative and innovative work environment.

• Enjoy a positive and enriching work environment, situated in a desirable location.

Mechanical Design Engineer

We are interested in candidates with fullstack development experience with an emphasis on geospatial applications.

• Implement new features and maintain existing software across all Calico Teknoloji software stack

• Collaborate with engineers and translate their requirements and techniques into modern data processing pipelines and applications

• Read ICDs provided by a cross-functional engineering team and turn that into functioning pieces of software

• Deploy and orchestrate services in an agile fashion

• Solve technical problems in the field of geospatial applications

• Write and maintain documentation for the software stack

• Design and build real-time map based interfaces for performant rendering and visualization of a diverse set of high volume sensor data

• Bachelor’s degree in computer science, computer engineering or a related field

• Experience using frameworks like Django

• Excellent foundations in REST and WebSockets

• Development experience with Postgres or similar

• Geospatial development experience with Postgis

• Good understanding of containerization technologies (especially Docker) and hot-reloading

• Basic understanding of networking concepts such as TCP/HTTP/routing/reverse proxying/load balancing etc.

• Excellent understanding of web technologies, including HTML5, CSS3, Javascript, and TypeScript

• Development experience with MapLibre or another web-mapping library

• In-depth knowledge of Go is a huge plus.

• Knowledge of geospatial python stack is a huge plus (shapely, rasterio, gdal, ogr etc.)

• Understanding of Geospatial concepts and familiarity with GIS technologies

• Understanding of imagery data, its processing, storage, and retrieval

• Experience with geospatial data (vector, raster, geojson, shapefile etc.) is a huge plus

• Continued support for candidates currently enrolled in a master's or doctoral program in a related field. 

• Opportunities for continuous professional growth and skill development. 

• Engage in a collaborative and innovative work environment. 

Fullstack Engineer

We are looking for a hands-on, jack-of-all-trades RF System Engineer who can bridge RF system engineering and ground/industrial electrical systems.

You will work closely with multi-disciplinary engineering teams and technicians to specify, integrate, test, and document complete end-to-end systems—from RF front ends and interconnects to power, control, and networking.

• Architect, specify, and integrate electrical and RF subsystems into a cohesive, deployable system.

• Drive RF system engineering using primarily COTS components: define requirements, evaluate vendor options, select parts, and coordinate procurement.

• Develop and maintain link budgets for signals of interest, incorporating line-of-sight constraints, geometry, antenna patterns, propagation effects, and system margins.

• Define RF signal chains and their interconnections, including practical use of attenuators, terminators, filters, couplers, circulators, mixers, switches, LNAs/LNBs, splitters/diplexers, oscillators, and RF switching.

• Maintain working knowledge of common antenna families (e.g., spiral, horn, dipole) and their real-world implications on coverage, polarization, pointing tolerance, and link margin.

• Lead ground/field electrical design with emphasis on safe, robust power wiring: AWG sizing, current capacity, temperature derating, protection devices, safety practices, and lightning protection concepts.

• Design and review grounding and bonding strategies for both DC power systems and RF systems; ensure low-impedance returns, appropriate shielding practices, and minimization of ground loops and apply strong EMI/EMC intuition during architecture and wiring/harness decisions; identify and mitigate noise coupling paths early in the design.

• Own industrial control and digital communications integration: Modbus and CAN bus, plus I2C, SPI, UART, RS-232/RS-485/RS-422, and practical interfacing considerations (termination, isolation, common-mode, grounding, cabling) and apply basic signal integrity and cable practices

• Support Ethernet/networked system integration at a practical level (physical layer basics, cabling, connectors, shielding, EMI considerations, and deployment realities).

• Select and integrate rugged interconnects: automotive and military-grade connectors (sealing, strain relief, pin density, current rating, shielding/backshells, and maintainability).

• Apply environmental requirements (including MIL-STD-810 concepts) to electrical design decisions affecting wiring, connectors, enclosures, and component selection.

• Build bench setups and hardware-in-the-loop rigs; prototype, integrate, assemble, and troubleshoot systems hands-on.

• Validate and troubleshoot using lab instrumentation (VNA, oscilloscope, signal generators, multimeters, power meters, DC supplies, etc.).

• Create and maintain system documentation: block diagrams, wiring diagrams, RF/DC/serial/Ethernet schematics, ICD/IDD-style interfaces, and test/verification procedures.

• Provide engineering support to technicians and cross-functional teams during integration, deployment, and operations; communicate clearly across engineering disciplines.

• Bachelor’s degree in Electrical Engineering.

• 3+ years of relevant industry experience in roles involving RF/electrical system integration, ground infrastructure, industrial controls, or adjacent complex hardware systems.

• Strong fundamentals in electronics, system integration, and first-principles engineering problem solving.

• Demonstrated hands-on capability: comfortable building, wiring, reworking, and debugging real hardware in a lab/field environment.

• Solid understanding of RF system concepts and practical component behavior (noise figure/noise temperature, dynamic range/SFDR, nonlinearity/IP3, filtering, gain distribution).

• Ability to derive and defend link budgets, including geometry/LoS constraints and antenna pattern implications on margin.

• Practical familiarity with RF components and interconnects, including connectors, cables, adapters, and measurement considerations.

• Strong grounding/bonding intuition for both DC and RF systems; familiarity with lightning protection concepts and site grounding considerations.

• Experience with power wiring and harnessing fundamentals: conductor sizing, insulation/derating concepts, protection, and safe layout practices.

• Working knowledge of industrial and embedded communications: Modbus, CAN, I2C, SPI, UART, RS-232/RS-485/RS-422; comfortable diagnosing bus-level issues.

• Familiarity with Ethernet fundamentals and physical integration considerations.

• Comfortable reading and producing clear schematics, wiring diagrams, and interface documentation; ability to follow manuals and procedures precisely.

• Python (or similar) for automation, test scripting, data analysis, or light embedded/controls tasks.

• Proficiency with lab test equipment: VNA and oscilloscope required; familiarity with signal generators, multimeters, power supplies, and power meters.

• Ability to collaborate effectively with engineers across disciplines and with technicians; strong communication and documentation habits.

• Strong familiarity with RF/microwave COTS vendor ecosystems and selection tradeoffs (performance, availability, environmental suitability, integration risk).

• Working knowledge of EMI/EMC practices and debugging methodology (coupling paths, shielding, filtering, grounding, cable routing).

• Some exposure to MIL-STD documents (e.g., MIL-STD-810) and how environmental requirements flow into connector/harness/mechanical/electrical decisions.

• Experience with Visio and electrical CAD tools (Autodesk, Altium, or equivalent) for schematics/wiring/harness documentation.

• Basic-to-intermediate soldering and rework skills.

• Understanding of Software Defined Radio (SDR) architectures and workflows (configuration, RF bring-up, calibration, recording/streaming, and verification) is a plus.

• Exposure to software-defined defense concepts (e.g., modular EW/ELINT-oriented RF chains, adaptable waveforms, rapid reconfiguration, and system-level tradeoffs) is a plus.

• Continued support for candidates currently enrolled in a master's or doctoral program.

RF System & Electrical Engineer

We are seeking a Backend Engineer (Go/Python) to maintain, extend, and harden an existing real-time data processing engine while building the testing and validation infrastructure around it. This role is centered on improving an already-operational Go-based backend, adding new capabilities, increasing robustness and observability, and developing a comprehensive automated testing harness spanning unit, integration, SIL, and HIL environments. Candidates must have at least 3+ years of relevant professional experience; junior or purely academic backgrounds are not a fit.

You will work within a multi-disciplinary engineering team, collaborating with algorithm, FPGA, embedded, and systems engineers to evolve the data engine into a reliable, scalable, and well-validated core platform. The role requires deep expertise in Go, strong fluency in Python, and disciplined engineering around concurrency, performance, databases, networking, and CI/CD.

Real-Time Data Engine Development & Maintenance

• Maintain, update, and improve an existing real-time data processing engine written in Go (Golang).

• Design and implement new capabilities and serviceswithin the engine as product needs evolve.

• Refactor and optimize existing code for performance, reliability, maintainability, and testability.

• Build scalable ingestion, processing, and distribution pipelines for streaming and real-time data sources.

• Implement efficient concurrency models using goroutines, channels, and synchronization primitives.

• Optimize throughput, latency, and resource usage under real-time operational constraints.

• Develop and maintain websocket-based streaming interfacesand related backend APIs.

• Design and implement a comprehensive testing harness for the data engine and all other sources feeding data into the engine.

• Develop and maintain automated testing at all levels, including:  Unit testing, Integration testing, Software-in-the-loop (SIL), Hardware-in-the-loop (HIL)

• Ensure testing workflows are integrated into CI/CD pipelines, including automated execution up to and including HIL where applicable.

• Build validation tools and replay/simulation frameworks for verifying real-time behavior, correctness, and robustness.

• Use pytest and Python-based tooling to orchestrate, validate, and analyze tests.

• Develop supporting tools and analysis workflows using Python, NumPy, and notebook environments.

• Build data inspection, debugging, and verification utilities for both live and recorded datasets.

• Integrate Python-based analysis and validation environments with Go-based services and pipelines.

• Build and debug backend systems using: HTTP/HTTPS ,WebSockets (WS/WSS), TCP/IP, Linux sockets and services

• Configure and troubleshoot Docker networking, bridges, and port forwarding.

• Deploy and operate NGINX for reverse proxying, routing, and service exposure.

• Design and maintain production-grade backend services with strong understanding of Linux networking behavior.

• Design, maintain, and optimize data systems using: ClickHouse, PostgreSQL

• Implement and manage schema evolution, database migrations, indexing, partitioning, and performance optimization.

• Manage database snapshots, backups, and restore workflows.

• Integrate telemetry and metrics systems, including practical use of Prometheus with telemetry-oriented databases and services.

• Build and maintain Docker-based development and deployment environments.

• Use Git, GitLab, and CI/CD pipelines for automated builds, tests, validation, and deployments.

• Maintain high software quality through code review, branch hygiene, reproducible builds, and automated regression coverage.

• Use modern AI-assisted development workflowsproductively, including practical use of agentic coding systems where appropriate.

• Work closely with DSP, FPGA, embedded, and systems engineers to integrate the backend into the broader product.

• Produce and maintain clear technical documentation for architecture, APIs, test frameworks, deployment, and operational workflows.

• Participate in technical reviews and contribute to long-term maintainability and product evolution.

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.

• 3+ years of professional software engineering experience in backend, systems, or infrastructure-oriented development.

• Deep expertise in Go (Golang), including: Concurrency and goroutines, Synchronization and thread-safe design, Backend service development, Performance-oriented programming

• Strong fluency in Python, including NumPy, notebook environments, and pytest.

• Experience maintaining and evolving existing backend systems, not only greenfield development.

• Experience designing and implementing automated testing frameworks across multiple levels, including unit and integration testing.

• Strong understanding of Docker and containerized development/deployment workflows.

• Strong networking knowledge (HTTP/S, WebSockets, TCP/IP, sockets) and practical experience with Docker networking, including bridges and port forwarding.

• Practical experience with NGINX in reverse proxy or service exposure roles.

• Strong experience with ClickHouse and PostgreSQL, including migrations, indexing, partitioning, and optimization.

• Advanced experience with Git, GitLab, and CI/CD pipelines.

• Strong Linux proficiency, including services, networking, process debugging, and performance investigation.

• Experience with real-time data processing engines or streaming backend architectures.

• Experience building testing harnesses for complex systems, including SIL and HIL automation.

• Experience with Go websocket libraries such as Gorilla or Centrifugo.

• Experience integrating Prometheus into telemetry, metrics, or backend observability workflows.

• Experience with Django or adjacent Python backend frameworks.

• Familiarity with GIS concepts, coordinate reference systems, and tools such as pyproj and GDAL.

• Strong foundation in linear algebra and prior work involving numerical or geometry-heavy backend systems.

• Experience in software-defined defense or other real-time sensing/decision systems.

• Proficiency with AI-assisted development tools and practical use of agentic coding systems in day-to-day software engineering workflows.

• Previous experience with C++ is a significant advantage, particularly for performance-critical or systems-level development.

Backend Engineer (Golang)

We are seeking a Tracking and Sensor Fusion Engineer to design and implement advanced multi-target tracking and state estimation algorithms for complex sensing systems. This role focuses on building robust probabilistic tracking pipelines that fuse measurements from heterogeneous sensors (e.g., radar, RF, EO/IR, acoustic, or other sensing modalities) to produce reliable track estimates in challenging environments.

You will work within a multi-disciplinary engineering team, collaborating closely with DSP, FPGA, RF, and software engineers to develop integrated tracking systems from sensor measurements through track management and fusion. The role combines strong mathematical foundations with practical software engineering and production-quality implementation.

Tracking & Sensor Fusion Algorithm Development

•	Design and implement multi-target tracking and sensor fusion algorithms for real-world sensing systems.

•	Develop and maintain state estimation algorithms including: Kalman Filters (KF), Extended Kalman Filters (EKF), Unscented Kalman Filters (UKF), Error-State Kalman Filters (ESKF), Particle Filters.

•	Implement and optimize multi-target tracking architectures, including: Multi-Hypothesis Tracking (MHT), Joint Probabilistic Data Association (JPDA), Random Finite Set (RFS) based methods such as PHD and PMBM filters.

•	Develop probabilistic models for sensor measurements, clutter processes, and target motion models.

•	Design and tune tracking pipelines including track initiation, maintenance, gating, and pruning.

•	Develop and maintain tracking performance models, error budgets, and sensitivity analyses.

•	Evaluate algorithm robustness under uncertainty, sensor noise, clutter, and ambiguous measurements.

•	Conduct simulation campaigns and validation studies for tracking accuracy and system performance.

•	Process and fuse measurements from sensors such as: Radar, RF / ELINT sensors, Electro-optical (EO/IR) sensors, LIDAR, AIS / ADS-B or similar external data sources.

•	Design tracking architectures appropriate for different sensing modalities and mission domains.

•	Implement tracking algorithms as production-quality software using modern engineering practices.

•	Develop prototypes in Python or MATLAB, but implement operational systems using general-purpose languages such as C++ or Go when appropriate.

•	Maintain high standards for software quality, performance, and maintainability.

•	Use modern AI-assisted development tools to improve development velocity and code quality.

•	Build and maintain comprehensive unit, integration, and system-level tests validating algorithm correctness and robustness.

•	Develop simulation environments and test harnesses for evaluating tracking systems.

•	Ensure reproducibility and reliability of algorithm implementations across development stages.

•	Work closely with DSP, FPGA, RF, and software engineers to integrate tracking algorithms into larger sensing systems.

•	Collaborate with system engineers to define interfaces and requirements for tracking subsystems.

•	Produce clear documentation including technical documentation, interface control documents (ICDs), and algorithm descriptions.

•	Bachelor’s degree in Electrical Engineering, Computer Science, or a related field.

•	Master’s degree with specialization in Multi-Target Tracking or Statistical Signal Processing.

•	1+ years of professional industry experience outside of academia developing estimation, tracking, or sensor fusion algorithms.

•	Prior experience in radar, electronic warfare (EW), or sensing systems.

•	Excellent theoretical foundations in: Kalman filtering and nonlinear state estimation, Hidden Markov Models (HMMs), Multi-Target Tracking, Particle filtering and Bayesian inference, Probabilistic modeling and stochastic processes.

•	Experience implementing tracking or estimation algorithms in software.

Calico Teknoloji

Careers at Calico Teknoloji

Mechanical Design Engineer

Fullstack Engineer

RF System & Electrical Engineer

Backend Engineer (Golang)

Tracking and Sensor Fusion Engineer

Electronic Warfare Algorithms Engineer

Elektrik-Elektronik ve Mekanik Üretim Teknisyeni

Electronic Warfare FPGA Engineer