Browse all open positions at Calico Teknoloji and become part of our growing team. Apply today!

Jobs at Calico Teknoloji

Administration & Operations

Content & Copywriting

Customer Service

Design & User Experience

Engineering

Finance & Accounting

HR & Recruiting

IT & Software Development

Product Management

Quality Assurance

Sales & Marketing

Security

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.

• 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.

• 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.

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.

•	Proficiency in Python for algorithm development and experimentation.

•	Experience working in Linux-based development environments.

•	Familiarity with Git and CI/CD workflows.

•	Ability to collaborate effectively within multi-disciplinary engineering teams.

•	Hands-on experience implementing MHT, JPDA, or RFS-based filters (PHD, PMBM).

•	Experience designing and deploying tracking systems for defense or sensing applications across domains such as air, maritime, ground, or space.

•	Experience working with sensor measurements from radar, EO/IR, RF sensors, or LIDAR.

•	Familiarity with open-source multi-target tracking toolboxes.

•	Strong C++ software development skills.

•	Experience with Docker-based development environments.

•	Experience tuning tracking pipelines, building sensor error models, and performing system-level performance analysis.

•	Strong documentation skills including development of algorithm documentation and ICDs.

Tracking and Sensor Fusion Engineer

We are seeking an Electronic Warfare Algorithms Engineer to develop end-to-end processing pipelines—from raw IQ through detection, PDW extraction, pulse train formation, deinterleaving, and emitter identification. This role is algorithm-heavy and implementation-aware: you will design methods that can be realized on real-time platforms, collaborating closely with FPGA, CPU, and GPU specialists to translate theory into robust, testable capabilities. A strong command of Python, practical experience with SDRs, and the ability to validate behavior using lab instrumentation are central to success.

• Design and implement ESM signal processing chains covering: wideband capture, channelization, detection, PDW extraction, pulse train formation, deinterleaving, and emitter identification/classification.

• Build and tune detectors grounded in detection theory, especially CFAR variants.

• Implement channelizers and multirate architectures: FFT channelizers, polyphase filter banks (PFB), multirate DSP.

• Apply matched filtering and time-frequency processing to improve sensitivity (FFT processing gain, coherent/non-coherent integration, windowing effects).

• Develop Direction Finding (DF) processing strategies appropriate to array/antenna geometries and operational constraints (including calibration-aware approaches).

• Perform PRI / pulse pattern analysis, and design robust feature extraction for deinterleaving and identification.

• Analyze and characterize agile/spread-spectrum signals (e.g., FHSS/DHSS) and define practical detection/feature extraction methods under realistic SNR and receiver constraints.

• Determine performance limits using RF/system constraints: link budgets, Friis, receiver dynamic range, SFDR, ENOB, IIP3, phase noise, sampling/quantization effects, and front-end filtering limitations; translate these limits into actionable algorithm requirements.

• Collaborate with FPGA/CPU/GPU engineers to map algorithms to hardware: throughput/latency budgeting, memory bandwidth considerations, fixed-point awareness, and verification strategies.

• Build test harnesses and evaluation pipelines using real and synthetic datasets; produce clear documentation, plots, and quantitative results.

• 2+ years of professional industry experience (outside of academia) developing signal processing / EW / SDR / communications / radar-related algorithms.

• Strong understanding of ESM/ELINT/COMINT/SIGINT domain concepts: what is measured, why it matters, and how systems operationalize extracted parameters.

• Demonstrated competency in Python, especially NumPy/SciPy, for algorithm development, experimentation, and performance evaluation.

• Solid grounding in detection theory and practical detector design, including CFAR and thresholding under non-ideal conditions.

• Experience with channelizers, FFT-based processing, and multirate DSP concepts.

• Experience working with SDRs as a user (capture/playback, gain setting, sampling strategy, calibration awareness), and comfort handling IQ datasets and metadata.

• Ability to communicate effectively with cross-functional engineering teams and produce high-quality technical documentation.

• M.S. in Electrical Engineering (or closely related) with focus in signal processing, RF, radar, or communications.

• Knowledge of radar signal processing and array signal processing

• Strong working knowledge of digital communications, including OFDM fundamentals.

• Proficiency in C++ for performance-critical implementations or integration into production systems.

• Familiarity with GNU Radio and common SDR stacks.

• Experience with UHD and/or libiio (device configuration, streaming stability, rate/clocking considerations).

• Practical experience with signal inspection/debug tooling (e.g., Inspectrum or equivalent workflows).

• Hands-on comfort with RF lab equipment for validation and bring-up, including spectrum analyzers and signal generators (basic measurements, sanity checks, stimulus/response workflows).

• Experience designing robust deinterleaving and identification pipelines under dense contested emitter environments.

• Familiarity with real-time constraints and acceleration strategies (vectorization, SIMD, multiprocessing, GPU acceleration concepts) and collaboration with FPGA teams.

Electronic Warfare Algorithms Engineer

Elektrik-Elektronik, mekanik ve RF sistemler tasarlayan ve üreten AR-GE firmamızın üretim, montaj, kalite ve depo yönetimi gibi çeşitli ihtiyaçlarını karşılama hedefiyle teknisyen pozisyonunda çalışacak arkadaşlar arıyoruz.

Üretim Yönetimi: Teknik çizimler ve şemalar doğrultusunda üretim takibinin gerçekleştirilmesi

Kalite: Üretilen parçaların kalite kontrollerinin gerçekleştirilmesi

Montaj: Teknik çizimler, şemalar ve spesifikasyonlara dayalı olarak elektriksel ve mekanik bileşenlerin montajını gerçekleştirmek.

Prototip Geliştirme: Mekanik ve elektriksel imalat işlemleri yaparak prototip geliştirme ve modifikasyon süreçlerinde aktif rol almak.

Mühendislik Ekibi ile İş Birliği: Ürün geliştirme sürecinde mühendislerle yakın iş birliği içinde çalışarak prototiplerin inşası ve test edilmesi

Dokümantasyon: Gerçekleştirilen işlemler, test sonuçları, kurulum süreçleri ve tasarım değişikliklerini doğru şekilde kaydetmek ve raporlamak.

Depo Yönetimi: ERP sistemini aktif kullanma ve sistem bileşenlerinin depolanma ihtiyacının yönetilmesi

Eğitim: Elektrik veya mekanik mühendisliği teknolojisi, mekatronik veya ilgili alanlarda ön lisans veya teknik sertifika.

Deneyim: Tercihen Ar-Ge ortamında olmak üzere elektrik ve mekanik montaj veya üretim alanında en az 2 yıl deneyim.

Teknik çizim ve şemaları okuyup yorumlama yeteneği.

Lehimleme, kablolama ve temel devre testleri konusunda deneyim.

Mekanik aletler ve imalat tekniklerinde (örn. freze, CNC, 3D baskı) deneyim sahibi olmak.

Multimetre, osiloskop ve diğer teşhis araçları ile çalışma tecrübesi.

Problem Çözme Becerileri: Elektriksel ve mekanik sorunları teşhis etme ve çözme konusunda güçlü yetenek.

Calico Teknoloji

Careers at Calico Teknoloji

RF System & Electrical Engineer

Backend Engineer (Golang)

Tracking and Sensor Fusion Engineer

Electronic Warfare Algorithms Engineer

Elektrik-Elektronik ve Mekanik Üretim Teknisyeni

Electrical Engineer

Electronic Warfare FPGA Engineer