Top Python Jobs in Bengaluru

As a Senior Software Engineer on SiFive's Platform Execution team, you will develop scalable software flows that interface with verification tools for RISC-V Core IP products, while collaborating with customers and design engineers.

Develop and maintain cloud-based applications using AWS, create CI/CD pipelines, monitor application performance, and ensure security and scalability of cloud infrastructure, while collaborating with team members to meet requirements.

The Sr SW QA Engineer is responsible for developing functional test strategies, creating automation tests for Optical Muxponder/Switchponder applications, and ensuring thorough testing of protocols and interfaces within Agile teams. Duties include designing test plans, troubleshooting, cross-functional coordination, and optimizing test setups for customer configurations, all to ensure high product quality.

This role involves owning the verification of an IP block, architecting the test bench, developing verification plans, and ensuring bug-free delivery of the IP. Responsibilities include building reusable components, executing tests, and guiding junior engineers. Opportunities for lab validation using Python and contributing to methodology improvements are included.

As a Firmware Test Engineer at Infinera, you'll execute firmware testing for complex DWDM equipment, collaborating with cross-functional teams. Key responsibilities include developing test strategies, performing root cause analysis on defects, and ensuring high product quality through both black box and white box testing in an Agile environment.

As an ASIC Design Engineer, you will implement physical design steps, perform static timing analysis, and collaborate with logic designers for design feasibility. You will also develop methodologies and automation scripts across the ASIC physical design flow.

The Senior Principal Engineer will lead software development focusing on Network Management Systems and AI/ML. Responsibilities include designing functions, conducting code reviews, mentoring engineers, implementing AI/ML models, and collaborating on product enhancements.

The Senior Lead Data Engineer is responsible for developing data solutions by translating business needs into technical specifications, overseeing the integration of complex engineering data into data warehouses, optimizing database performance, and ensuring high-quality data solutions across GlobalFoundries' manufacturing operations.

As a Senior Solutions Engineer, you will drive Neo4j’s growth by articulating business value and shaping solutions that meet customer needs. Responsibilities include leading technical discovery, value-based selling, pre-sales engagement, and collaborating with partners to enhance adoption and design solutions leveraging hyperscaler services.

As a Senior Detection Developer, you will work with the Cloud Detection Team to enhance the detection base, develop Python and YAML-based detections, and mentor junior team members. Responsibilities also include conducting code reviews, optimizing performance, and collaborating with cross-functional teams.

The Developer - Platform & Infrastructure at Arctic Wolf will enhance Kubernetes cluster management, develop automation tools, write microservices for observability, and improve cloud resource provisioning. The role necessitates a focus on security, reliability, and scalability of systems that contribute to the company's mission of ending cyber risk.

The Lead Software Developer will oversee the development of advanced security products at Arctic Wolf Labs, focusing on distributed microservices and research in cybersecurity. Responsibilities include developing scalable and fault-tolerant systems, writing test-driven code, and collaborating with security researchers and engineers to enhance product capabilities.

As a Senior Full Stack Developer, you will build scalable software solutions, collaborate with data scientists and engineers, manage code repositories using Git, implement cloud security standards, and design CI/CD pipelines.

As a Design Verification Infrastructure Engineer at NVIDIA, you will develop verification and design infrastructure for their leading GPUs. Responsibilities include setting up scalable verification flows, improving integration processes, monitoring infrastructure health through automated metrics, and enhancing verification efficiency for hardware engineers.

Design Verification Infrastructure Engineer at NVIDIA focuses on developing core verification and design infrastructure for GPUs, improving continuous integration processes, setting up scalable verification flows, and enhancing build and simulation speed. The role requires collaboration with IP and infrastructure teams to resolve issues and improve verification efficiency.

As a Design Verification Engineer, you'll be responsible for verifying PCI Express controller designs for GPUs and SOCs using advanced methodologies like UVM. You'll develop test plans, reusable models, and collaborate with various teams to ensure design correctness.

As a Verification Engineer at Nvidia, you will verify the design and architecture of SoCs using advanced methodologies like System Verilog and UVM. Responsibilities include defining verification scopes, creating test plans, and collaborating with hardware architects. You'll get exposure to cutting-edge technologies deployed in high-performance CPU subsystems and more.