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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.