Algorithm Developer / Engineer

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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.

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Job Opening: Algorithm Developer / Engineer

Domain: Aerospace and defence, multi-sensor data fusion

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.

•    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.

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.

•    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++.

•    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.

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

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

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.

•    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.

•    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.