Position Overview
We are seeking a Design Automation (DA) SW Engineer to build Python-based automation tools and build pipelines for our FPGA/SoC development flows. You will focus on automating project generation from metadata, parsing EDA build reports, and streamlining the developer workflow between hardware specifications and software tooling.
Responsibilities & Opportunities
- Develop Python-based CLI utilities and automation tools to streamline complex build and integration flows.
- Build metadata-driven script and code generators that translate structured input data (CSV, YAML, JSON) into automated build configurations.
- Create robust log and report parsers to extract execution status, resource metrics, and diagnostic summaries from build outputs.
- Maintain and improve automated build and packaging pipelines for reference platforms and system releases.
- Collaborate with domain engineers (Hardware, Firmware, Verification) to define and refine single-source-of-truth (SSOT) schemas and interface specifications.
Required Qualifications
- BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Strong proficiency in Python and Linux shell scripting (Bash).
- Understanding of basic file/data parsing (CSV, JSON, YAML) and text-processing in Python.
- Basic familiarity with command-line tools or build systems (e.g., Make, CMake, or CLI-based tools).
Preferred Qualifications
- Experience or interest in scripting for EDA/FPGA build flows (e.g., Tcl, Vivado CLI).
- Experience building automated build tools, log parsers, or CI/CD pipelines for hardware/embedded teams.
About us
MangoBoost, Inc.
Agentic AI is fundamentally reshaping the paradigm of AI infrastructure. As environments emerge where countless AI agents operate simultaneously, conventional data center architectures are reaching their limits in both performance and efficiency. In response to this shift, MangoBoost is pioneering a new approach with its full-stack AI infrastructure solution designed to innovate every layer of the AI data center.
From LLMBoost, our AI inference optimization software, to GPU and storage systems powered by our proprietary DPU architecture, and orchestration software that seamlessly integrates and manages the entire stack, MangoBoost designs and develops every layer of AI infrastructure in-house. Rather than building isolated products, we focus on eliminating system-wide bottlenecks and fundamentally addressing inefficiencies across the entire infrastructure stack.
MangoBoost’s technology minimizes data movement and coordination overhead while maximizing overall system resource utilization, enabling exceptional performance and optimized total cost of ownership (TCO) for customers. Today, our solutions are already being deployed within real-world AI infrastructure environments through global partners, validating the strength of our technology. Through these efforts, MangoBoost is establishing a new global standard for AI data centers.
Notice Regarding Return of Hiring Documents
- This notice is in accordance with Article 11, Section 6 of the Fair Hiring Procedure Act, which allows job applicants, excluding the final successful candidate, to request the return of any recruitment documents they have submitted.
- Job applicants who were not selected as the final candidates in the recruitment process are entitled to request the return of the recruitment documents they submitted within 180 days of the date the employment decision is confirmed. However, this does not apply to documents submitted via the website or email, or documents voluntarily submitted by the applicant without the company’s request. If the recruitment documents are lost due to natural disasters or other reasons for which the company is not responsible, it will be considered as having been returned.
- Applicants wishing to request the return of their recruitment documents should fill out the Request for Return of Hiring Documents [Form 3 of the Enforcement Rules of the Fair Hiring Procedure Act] and submit it by email (recruiting@mangoboost.io). The documents will be sent by registered mail to the designated address within 14 days from the confirmation of submission. Please note that the cost of registered mail will be borne by the recipient.
- The company will keep the recruitment documents for 180 days following the confirmation of the employment decision. If no request for the return of documents is made within that period, the company will dispose of all recruitment documents without delay in accordance with the Personal Information Protection Act.
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