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Requirements:
10+ years of software development experience.
Proven experience as a Tech Lead, Senior Software Engineer, or equivalent technical leadership role.
Strong expertise in cybersecurity, data security, or security software development.
Proven experience conducting cybersecurity research and developing security technologies.
Strong software architecture and system design skills.
Extensive hands-on experience with C/C++ development on Linux.
Experience designing and developing complex enterprise software systems.
Strong understanding of secure software development methodologies and security-focused system design.
Ability to analyze complex security problems and develop practical engineering solutions.
Excellent technical leadership, communication, and problem-solving skills.
Ability and willingness to travel occasionally.
B.Sc. in Computer Science, Software Engineering, or a related field (M.Sc. is an advantage).
Preferred Qualifications:
Experience with relational databases such as PostgreSQL, Oracle, SQL Server, or MySQL.
Understanding of database security concepts including encryption, auditing, access control, authentication, authorization, and data protection technologies.
Background in security research, vulnerability analysis, threat modeling, or security architecture.
Experience analyzing attack surfaces and designing security mechanisms to protect complex software systems.
Experience with operating system security concepts including process isolation, privilege management, memory protection, and Linux security mechanisms.
Familiarity with cryptographic concepts and secure communication protocols.
Experience with vulnerability research, reverse engineering, binary analysis, fuzzing, or security testing methodologies.
Experience developing security-sensitive enterprise software, infrastructure products, or low-level system components.
Understanding of cloud security concepts and modern enterprise security architectures.
Familiarity with security standards and frameworks such as NIST, ISO 27001, CIS, OWASP, or similar.

Requirements:
10+ years of software engineering or related technical experience.
Proven experience leading a strong software engineering team.
Strong hands-on software architecture and development skills.
Experience building a new technology area or product from an early stage.
Strong practical knowledge of LLMs, RAG, embeddings, and AI agents.
Experience integrating AI models with applications, APIs, tools, or data systems.
Strong programming skills in Python, C/C++, Java, or similar languages.
Good understanding of distributed systems and modern software architecture.
Experience with production performance, reliability, and scalability.
Ability to evaluate new AI technologies and turn them into a clear engineering plan.
Advantages:
LangGraph or similar agent frameworks
Vector databases and semantic-search systems
PyTorch, Hugging Face, or similar AI frameworks
GPU and AI accelerator technologies
Database systems and SQL engines
Research, patents, or strong open-source contributions in AI systems.

Requirements:
Education: MScs degree (or higher) in Computer Science, Software Engineering, Computer/Electrical Engineering, or a related deep-tech field.
Analytical & Due Diligence Skills: Strong ability to comprehend complex technical content, read academic papers, and evaluate startup pitch decks, market research, and technical documentation.
Communication Excellence: Highly skilled in translating technical data into high-impact summaries, landscape maps, and technical presentations.
Nice to Have:
Experience in academic-industry collaborations.
Experience working within a startup accelerator, venture capital firm, or corporate innovation hub.

Requirements:
You're a fit if
You bring both the technical depth and the ownership mindset this role demands.
You have 5+ years of relevant experience in SaaS, ideally in a startup environment.
You've built and scaled systems on AWS or another major cloud provider.
You're comfortable across Python, Node.js, and TypeScript.
You've worked with Docker, Kubernetes, and message queues like SQS or Kafka in production.
You know your way around Postgres and Snowflake, or any similar databases, and how to keep them fast under load.
You've used tools like Claude and Cursor to move faster, and bonus points if you've integrated LLM flows into a live product.
You review code like you mean it - clear opinions, not just approvals.
You have a real sense of urgency and don't wait to be told what's next.
You collaborate in a way that makes the people around you better, not just yourself.

Requirements:
Bachelors or Masters degree in Computer Science, AI, Engineering, or a related field; Ph.D. is an advantage.
8+ years of software engineering and AI experience, with hands-on expertise in LLMs, Generative AI, and Agentic AI.
Recognized expertise and leadership in Agentic AI, with significant contributions to Agent platforms, frameworks, or enterprise AI solutions.
Ability to combine technical vision with hands-on execution, from architecture and prototyping to production.
Proven experience architecting, building, and scaling production-grade Agentic AI platforms and systems.
Deep expertise in reasoning and planning, memory, RAG, tool use, context engineering, multi-agent systems, evaluation, and observability.
Strong expertise in Python, software architecture, distributed systems, cloud, APIs, and AI infrastructure.
Strong technical leadership, presentation, and communication skills, with the ability to influence technology direction and represent openJiuwen globally.
Advantages:
Strong understanding of enterprise AI architecture, including reliability, security, scalability, performance, and cost efficiency.
Experience with leading Agentic AI platforms, frameworks, and ecosystems, such as OpenAI Agents SDK, Claude ecosystem, OpenClaw, Hermes, or equivalent technologies.
Experience leading or contributing to global open-source and developer communities.
Demonstrated industry influence through conferences, publications, developer communities, enterprise engagements, research papers, patents, or advisory roles.
Experience with Physical AI and embodied agent systems.

Requirements:
You're a fit if
You have 5+ years of ML/AI architecture experience in a SaaS company.
You bring both the technical depth and the leadership range this role demands.
You've built agentic systems with tool use, planning, and multi-step reasoning in production, not just in a notebook.
You've set up AI governance and evaluation harnesses from scratch.
You have proven, hands-on experience with AI in production systems.
You can take a project from concept to shipped and interface with stakeholders the whole way.
You hold a relevant degree; an advanced degree in CS, ML, Statistics, or a related field is a plus.
You're comfortable in front of customers and executives, translating technical tradeoffs into business terms.


You're probably not a fit if
You want to execute against someone else's architecture, not design your own.
You'd rather avoid customer or stakeholder conversations than lead them.
You think about the technology and skip the business context it lives in.
You need long runway before shipping - this role moves fast and mixes design with execution.
You want a playbook handed to you rather than writing the first one.

Requirements:
6+ years of professional development with significant hands-on C and/or C++.
3+ years of Linux kernel development or low-level Linux systems development, with hands-on experience in eBPF/BPF, LSM, kernel tracing/instrumentation, or security frameworks.
Deep understanding of Linux internals: processes, memory management, scheduling, syscalls, filesystems, networking, kernel/user-space interaction, namespaces, containers.
Strong debugging and performance analysis skills ( gdb , perf , strace , ftrace ).
Strong concurrency, synchronization, memory management, and performance optimization, building software that runs reliably under high load and adversarial conditions.
3+ years in endpoint/host security, malware or vulnerability research, or runtime security.
Ability to independently investigate unfamiliar areas and turn findings into working prototypes; strong English communication skills.
Comfortable reading kernel and security source code, analyzing attacker techniques, and validating defenses against performance, coverage, and evasion.
AI-Assisted Engineering
We actively use AI-assisted development tools in our R&D workflow. Experience with AI
coding assistants and agentic tools is an advantage; we value the ability to critically validate
AI-generated code, especially in security-sensitive, low-level software.
Nice to Have:
EDR/XDR agents or endpoint telemetry systems
Linux exploitation, malware, rootkits, persistence, or evasion techniques
Linux security mechanisms: SELinux, AppArmor, seccomp, capabilities, cgroups, Landlock
Container and cloud workload security; exploitation mitigations or runtime security controls
Reverse engineering, vulnerability research
Contributions to the Linux kernel, eBPF, or open-source security ecosystem; M.Sc./Ph.D., published research, patents, or talks.

Requirements:
Currently pursuing an M.Sc. or Ph.D. degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
Strong academic background and interest in computer systems, distributed computing, AI infrastructure, cloud computing, or related areas.
Good programming skills, preferably in C/C++.
Strong analytical, research, and problem-solving abilities.
Ability to understand, critically analyze, and apply insights from technical and academic literature.
Motivation to explore new technologies and conduct hands-on research and experimentation.
Ability to work independently while collaborating effectively within a research and development team.
Ways to stand out from the crowd
Knowledge or academic experience in one or more of the following areas: Virtualization, Storage, Hardware Offloads, Network Acceleration, RDMA (iWARP, RoCE, InfiniBand), or distributed systems.
Previous research experience, academic projects, or publications in computer systems or related fields.
Familiarity with AI/ML systems, AI inference, LLM serving, or AI computation pipelines.
Understanding of performance analysis, profiling, benchmarking, and system bottleneck identification.
Experience with Linux systems and low-level or systems programming.
Publications or research contributions in relevant academic venues are considered an advantage.

Requirements:
You're a fit if
You bring both the design depth and the ownership range this role demands.
You've owned UX at large scope, not just individual features, in a SaaS startup environment.
You see the story and the big picture before you see the pixels.
You know when to tear a design down to build it better - and you can show us examples.
You build systems and frameworks that protect quality without slowing the team down.
You're fluent in Figma and Claude Design, and you know how to use new tools to move faster.
You treat usage and adoption as the real success metric, not visual polish for its own sake.
You take ownership without being assigned - you find the problem before someone hands it to you.
You can balance shipping fast with shipping right, and you know which one a given moment calls for.

You're probably not a fit if
You wait to be assigned tasks instead of finding the problem yourself.
You optimize your corner of the product and don't think about the whole picture.
You can design a screen but can't articulate the user story behind it.
You treat design as disconnected from business outcomes like usage and adoption.
You put perfect before done and can't flex between speed and quality.

Requirements:
Experience of 5+ years in the firmware development/design of L2/3/4 networking devices or working with such device
Deep knowledge in one or more of the following fields: Virtualization, Storage, HW offloads, network acceleration, RDMA (iWARP, RoCE, InfiniBand)
Hands-on with software coding: C/C++, real-time programming of embedded microprocessors (ARM or Tensilica or MIPS)
Experience with OS kernel and user mode programming for Linux, understanding of Memory/Process/Thread/IO management
Bachelors degree or higher in Computer Engineering, Computer Science, Electrical Engineering, or equivalent
Ways to stand out from the crowd:
An expertise in one of the following:
Linux kernel , KVM, DPDK, SPDK, DPU/IPU environments, DOCA, IPDK.