DSP Software Engineer

Indian Institute of Technology Delhi (IIT Delhi); Bengaluru; On-site; INR 700,000 - 1,100,000; Full time

Job summary

The Indian Institute of Technology Delhi is seeking an experienced DSP Software Engineer to enhance their engineering team. The successful candidate will be involved in developing DSP software and signal‑processing pipelines for applications in Radar, LiDAR, and Video processing.

This role demands proficiency in optimizing DSP pipelines and integrating them into embedded systems environments. A background in C/C++ programming and specific DSP platforms is essential for this position.

Qualifications

• 2 to 5 years of hands-on DSP software development experience.
• Proficient in DSP architecture concepts and optimization.
• Hands-on experience with TI C6x/C7x or other DSPs.

Responsibilities

• Design, develop, and maintain DSP signal-processing pipelines.
• Optimize workloads on target DSP architectures.
• Integrate DSP modules into embedded software stacks.

Skills

DSP software development

Signal processing

C/C++ programming

Embedded systems

Algorithm optimization

Education

Bachelor’s or Master’s in Electronics, Embedded Systems, or related field

Tools

GCC

Visual Studio

CMake

JTAG

Job description

We are looking for an experienced and highly motivated DSP Software Engineer to join our dynamic engineering team. The ideal candidate will have strong hands‑on experience in DSP software development and signal‑processing pipeline implementation on embedded Digital Signal Processors (DSPs).

This role focuses on developing, integrating, and optimizing signal‑processing pipelines for domains such as Radar, LiDAR, Speech/Audio, and Video processing on heterogeneous SoCs. The candidate should be proficient in implementing and optimizing production‑grade DSP pipelines and deploying them efficiently on target hardware.

You will work at the intersection of embedded systems, signal processing, and hardware acceleration, contributing to high‑performance and power‑efficient edge computing solutions.

Experience: 2 to 6 Years

Job location: Hyderabad/Bangalore

Role & Responsibilities

• Design, develop, integrate, and maintain DSP signal‑processing pipelines for embedded applications such as Radar, LiDAR, Speech/Audio, and Video processing.
• Port, optimize, and validate workloads on target DSP architectures ensuring performance, latency, and power efficiency.
• Perform profiling, bottleneck analysis, and low‑level optimization using DSP ISA features, SIMD/VLIW capabilities, DMA, and memory hierarchy.
• Integrate DSP modules into embedded software stacks running on Linux, RTOS, or bare‑metal environments.
• Collaborate with algorithm, system, and hardware teams to translate reference algorithms into efficient production DSP implementations.
• Utilize DSP core libraries, intrinsic functions, and assembly‑level optimizations where required to achieve real‑time performance.
• Participate in software lifecycle activities including design documentation, testing, code reviews, and maintenance.
• Stay current with advancements in DSP architectures, signal‑processing algorithms, and edge acceleration technologies.

Required Skills

• Bachelor’s or Master’s degree in Electronics, Embedded Systems, Signal Processing, Computer Engineering, or related field with 2‑5 years of hands‑on DSP software development experience.
• Proficiency in C/C++ (Python is a plus), Intrinsic or Assembly based optimization methods using instruction pipeline and latency optimal designs, modular and Object‑Oriented programming skills.
• Practical experience implementing signal‑processing pipelines for at least one of the following: Radar/LiDAR/Speech / Audio / Video / Vision processing.
• Hands‑on development experience on one or more DSPs such as TI C6x/C7x DSP, Tensilica Vision/HiFi DSPs, Qualcomm Hexagon DSP and CEVA DSPs.
• Good understanding of DSP architecture concepts (SIMD/VLIW, pipelines, memory hierarchy, cache, DMA) and Fixed‑point / floating‑point implementation trade‑offs.
• Experience porting code between silicon, FPGA, and emulation environments.
• Familiarity with build systems (e.g. make, cmake, GCC, Eclipse, Visual Studio, ARM Development Tools).
• Familiarity with debugging tools such as GDB, JTAG, Emulators, and performance profiling tools.
• Self‑motivated with a strong passion for embedded signal processing and AI systems and technology.