Algorithm Developer - Matlab - Bangalore

*Greetings from Vidpro Conslutancy.

We are hiring for Algorithm Developer / Engineer with 3+ years of experience for once of our Aerospace and defence Company in Bangalore

• Location: Bangalore, full-time at the client site. Remote or hybrid work is not possible.

Role summary

Design, develop and validate data fusion, tracking and recognition algorithms. Prototype them in

MATLAB 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

*Interested Candidates do share your updated CV [email protected]*