Algorithm Developer / Engineer

Do you love a career where you Experience, Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you. Learn how we are redefining the meaning of work , and be a part of the team raved by Clients, Job-seekers and Employees. Jobseeker Video Testimonials Employee Glassdoor Reviews If you are a Algorithm Developer, MATLAB looking for excitement, challenge and stability in your work, then you would be glad to come across this page. We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long-term project. Here are a few details. Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive Talent Solution. Role: Algorithm Developer Location: BANGALORE Experience: 3-8 Years Employment Type: Full time Notice Period:0-30 days(If you have negotiable notice period or buyout option please apply) Requirements Job Opening: Algorithm Developer / Engineer Domain: Aerospace and defence, multi-sensor data fusion Openings Profile Openings Experience Algorithm Developer, MATLAB 4 3 or more years Algorithm Developer, Python 4 3 or more years Lead Algorithm Engineer 1 5 to 6 years Candidates strong in both MATLAB and Python are preferred for every profile. Common details • Location: Bangalore, full-time at the client site. Remote or hybrid work is not possible. • Work environment: Closed network with no internet access. You must derive equations and write code from your own knowledge. • Before joining: Police verification and background check are mandatory. Role summary Design, develop and validate data fusion, tracking and recognition algorithms. Prototype them in MATLAB or Python, measure their performance, and hand the benchmarked algorithms to the software team for embedded implementation. Key responsibilities • Convert mathematical equations and algorithm descriptions into working code. • Design and implement fusion, tracking or recognition algorithms. • Build sensor models from interface specifications. • Build simulations and generate test data to check the algorithms. • Measure performance with numbers: accuracy, track continuity, false track rate and latency. • Benchmark candidate algorithms and recommend the best performer. • Define test cases and carry out standalone algorithm testing. • Write clear, commented code and document the equations, design and results. • Present designs at formal design reviews and close the action points raised. • Support the software team when the algorithm is converted to C/C++. Qualification • B.E./B.Tech in ECE, EEE, CSE or Aerospace, or M.Sc in Mathematics or Physics. M.E./M.Tech is preferred. • Minimum 3 years of hands-on algorithm development in MATLAB or Python. Must-have skills for every candidate Area What you must be able to do MATLAB programming (MATLAB profile) Scripts and functions, matrix indexing, vectorised code, structures and cell arrays, plotting, file handling and debugging. Write algorithms with core MATLAB functions, without depending on toolboxes Python programming (Python profile) Data types, functions, classes, lists and dictionaries, file and exception handling, and debugging. NumPy arrays, slicing and broadcasting, SciPy linear algebra and Matplotlib Matrix mathematics Multiplication, transpose, inverse, determinant and rank. Eigenvalues and eigenvectors. Solving linear equations. Positive-definite matrices. Cholesky, QR and SVD decompositions Probability and statistics Random variables, mean, variance, covariance and correlation. Gaussian distribution. Bayes rule. Generating and analysing noise Estimation theory Least squares, and the Kalman filter family (KF, EKF, UKF): predict step, update step, process noise and measurement noise Coordinate frames Polar, spherical and Cartesian conversion. NED and ECEF frames. 2D and 3D rotation matrices Numerical methods Interpolation, numerical integration and differentiation, root finding, and awareness of precision errors Equations to code Read a derivation, implement it correctly, and check the output against a hand calculation C basics Data types, loops, functions, arrays, pointers and structures. Read and write simple C programs Working independently Write code without internet search or AI tools, recalling common library functions and syntax from memory Algorithm areas Candidates must have hands-on experience in one or more of these areas. Experience in several is an advantage. Area Algorithms and skills State estimation and tracking EKF, UKF, IMM filters, motion models (constant velocity, constant acceleration, coordinated turn), noise and bias modelling, track-to-track fusion, covariance intersection Data association and track management Gating, GNN, JPDA, MHT, assignment algorithms (Hungarian, auction), track initiation, confirmation and deletion, duplicate track merging Sensor resource management Task scheduling, rule-based priority logic, optimisation, information-gain based sensor tasking Target detection and recognition (Python required) OpenCV, PyTorch or TensorFlow, CNN and transformer-based object detectors, IR and EO image processing, video object tracking, dataset preparation and augmentation, model export to ONNX Networked and multi-platform fusion Triangulation, passive ranging, bearings-only tracking, geolocation, ambiguity resolution, time alignment of data from different platforms Additional requirements for the Lead Algorithm Engineer The lead is the single technical lead for the full project team and the point of contact with the client. • 5 to 6 years of algorithm development experience. • Hands-on radar tracking experience covering the full track life cycle: initiation, confirmation, maintenance and deletion. • Working knowledge of data association, Kalman and multiple-model filters, and multi-sensor fusion. • Strong in both MATLAB and Python, able to review the code and mathematics of other engineers. • Experience guiding a team, planning tasks, tracking progress and reporting to a client. • Able to present and defend technical designs at formal reviews. Tech stack • Languages: MATLAB/Simulink or Python, and basic C/C++. • MATLAB toolboxes: Sensor Fusion and Tracking, Statistics and Machine Learning, Signal Processing, Optimization, Computer Vision. • Python libraries: NumPy, SciPy, FilterPy, Stone Soup, Pandas, Matplotlib, OpenCV, PyTorch, ONNX. • Version control: Git. • Documentation: MS Word, Visio or draw.io. Good to have • Experience with airborne or defence sensor data: radar, IRST or EO/IR. • Monte Carlo simulation and performance evaluation (RMSE, OSPA, NEES/NIS). • Experience in navigation (GPS/INS), ADAS sensor fusion or surveillance systems. • C/C++ experience, for easier handover to embedded implementation. • Published papers or a thesis in tracking, estimation, signal processing or computer vision. Benefits Visit us at http://alignity.io/careers. Alignity Solutions is an Equal Opportunity Employer, M/F/V/D. CEO Message: Click Here Clients Testimonial: Click Here