We invest in sectors decisive for climate impact. In these areas, deep tech meets the physical economy, solves real problems, and makes modern life better.

Industry: Venture Capital and Private Equity Principals
Company Size: 2-10 employees

Gigascale Capital

Savvy Admin PROD

Location

Palo Alto

Employment Type

Full time

Department

Research

OverviewApplication

At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.

We're looking for a Research Scientist or Research Engineer focused on model efficiency — making our foundation world models faster, smaller, and more deployable without sacrificing capability. This work is critical to closing the gap between research-scale models and real-time operation on robot hardware.

**What You'll Do**

- Research and implement model compression techniques: quantization, pruning, structured sparsity, distillation, and low-rank approximation

- Design efficient architectures and attention mechanisms suited to real-time inference on edge and robot hardware

- Develop training strategies that produce better accuracy-efficiency tradeoffs from the start

- Profile and benchmark models across hardware targets to identify and resolve efficiency bottlenecks

- Build evaluation frameworks that measure capability retention after compression or architecture changes

- Collaborate with training systems and deployment teams to ensure efficient models translate to faster real-world inference

- Publish and present work at top-tier venues (especially valued for RS track)

**What We're Looking For**

- Strong understanding of model compression and efficient architectures for large models

- Hands-on experience with quantization, distillation, or pruning applied to transformers or large neural networks

- Deep knowledge of where efficiency gains are possible in modern architectures

- Proficiency with PyTorch and familiarity with hardware-aware optimization (CUDA, TensorRT, or similar)

- Ability to run principled experiments that characterize capability-efficiency tradeoffs

**Nice To Have (But Not Required)**

- PhD in ML, CS, or a related field — or equivalent research/engineering experience

- Publication record at NeurIPS, ICML, ICLR, MLSys, or related venues

- Experience with efficient video or multimodal model architectures

- Familiarity with edge deployment targets (Jetson, custom ASICs, or mobile hardware)

- Prior work on speculative decoding, early exit, or adaptive compute

- Experience deploying compressed models on physical robots or latency-constrained systems

**Why This Role**

- Bridge the gap between large-scale research models and real-time robot deployments

- Your work determines whether frontier capabilities actually run on our hardware

- High leverage: efficiency improvements benefit every model the team trains and deploys

- Work at a rare intersection of deep learning research and systems

At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.

We're looking for a Research Scientist or Research Engineer focused on model efficiency — making our foundation world models faster, smaller, and more deployable without sacrificing capability. This work is critical to closing the gap between research-scale models and real-time operation on robot hardware.

**What You'll Do**

- Research and implement model compression techniques: quantization, pruning, structured sparsity, distillation, and low-rank approximation

- Design efficient architectures and attention mechanisms suited to real-time inference on edge and robot hardware

- Develop training strategies that produce better accuracy-efficiency tradeoffs from the start

- Profile and benchmark models across hardware targets to identify and resolve efficiency bottlenecks

- Build evaluation frameworks that measure capability retention after compression or architecture changes

- Collaborate with training systems and deployment teams to ensure efficient models translate to faster real-world inference

- Publish and present work at top-tier venues (especially valued for RS track)

**What We're Looking For**

- Strong understanding of model compression and efficient architectures for large models

- Hands-on experience with quantization, distillation, or pruning applied to transformers or large neural networks

- Deep knowledge of where efficiency gains are possible in modern architectures

- Proficiency with PyTorch and familiarity with hardware-aware optimization (CUDA, TensorRT, or similar)

- Ability to run principled experiments that characterize capability-efficiency tradeoffs

**Nice To Have (But Not Required)**

- PhD in ML, CS, or a related field — or equivalent research/engineering experience

- Publication record at NeurIPS, ICML, ICLR, MLSys, or related venues

- Experience with efficient video or multimodal model architectures

- Familiarity with edge deployment targets (Jetson, custom ASICs, or mobile hardware)

- Prior work on speculative decoding, early exit, or adaptive compute

- Experience deploying compressed models on physical robots or latency-constrained systems

**Why This Role**

- Bridge the gap between large-scale research models and real-time robot deployments

- Your work determines whether frontier capabilities actually run on our hardware

- High leverage: efficiency improvements benefit every model the team trains and deploys

- Work at a rare intersection of deep learning research and systems

At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.

We're looking for a Research Scientist or Research Engineer focused on model efficiency — making our foundation world models faster, smaller, and more deployable without sacrificing capability. This work is critical to closing the gap between research-scale models and real-time operation on robot hardware.

**What You'll Do**

- Research and implement model compression techniques: quantization, pruning, structured sparsity, distillation, and low-rank approximation

- Design efficient architectures and attention mechanisms suited to real-time inference on edge and robot hardware

- Develop training strategies that produce better accuracy-efficiency tradeoffs from the start

- Profile and benchmark models across hardware targets to identify and resolve efficiency bottlenecks

- Build evaluation frameworks that measure capability retention after compression or architecture changes

- Collaborate with training systems and deployment teams to ensure efficient models translate to faster real-world inference

- Publish and present work at top-tier venues (especially valued for RS track)

**What We're Looking For**

- Strong understanding of model compression and efficient architectures for large models

- Hands-on experience with quantization, distillation, or pruning applied to transformers or large neural networks

- Deep knowledge of where efficiency gains are possible in modern architectures

- Proficiency with PyTorch and familiarity with hardware-aware optimization (CUDA, TensorRT, or similar)

- Ability to run principled experiments that characterize capability-efficiency tradeoffs

**Nice To Have (But Not Required)**

- PhD in ML, CS, or a related field — or equivalent research/engineering experience

- Publication record at NeurIPS, ICML, ICLR, MLSys, or related venues

- Experience with efficient video or multimodal model architectures

- Familiarity with edge deployment targets (Jetson, custom ASICs, or mobile hardware)

- Prior work on speculative decoding, early exit, or adaptive compute

- Experience deploying compressed models on physical robots or latency-constrained systems

**Why This Role**

- Bridge the gap between large-scale research models and real-time robot deployments

- Your work determines whether frontier capabilities actually run on our hardware

- High leverage: efficiency improvements benefit every model the team trains and deploys

- Work at a rare intersection of deep learning research and systems

Research Scientist / Engineer - Efficient Modeling

**About Us**

At Arbor Energy & Resources Corporation ("Arbor Energy"), we’re creating technology to power our lives while protecting the planet that sustains them. Our advanced power systems deliver clean, reliable baseload electricity with zero operating emissions—modular, fuel-flexible, and engineered for the realities of today’s energy demand. At the core is a supercritical CO₂ turbine with integrated carbon capture, designed to bring carbon-neutral power online quickly at meaningful scale.

Our team includes aerospace engineers, combustion experts, and systems thinkers with a shared goal: to build technology worthy of the world we want to live in. While many of us began our journeys looking to the stars, we’re applying that expertise here at home to deliver dependable, emission-free baseload power and a future of lasting abundance.

If you share our values and are drawn to rigorous work with lasting impact, we’d love to learn more about you. Come build what the future will run on.

**Steward our planet **: We build for tomorrow, ensuring every bolt we tighten and every hand we lend leaves our environment stronger than we found it.

**Lead with Love **: We champion the success of our people, partners, and planet, nurturing excellence through camaraderie and rigor.

**Explore the Uncharted **: We embrace the unknown with curiosity, using courage and discipline to transform uncertainty into opportunity.

Role Overview

We're seeking a Systems & Infrastructure Engineer to own the deployment, performance, and scalability of our network infrastructure across current operations and upcoming facility expansions. You'll architect and execute network solutions, manage enterprise identity across Azure and Google Workspace, and serve as the technical authority on all infrastructure and security decisions.

This is a hands-on role that requires both strategic thinking and tactical execution. The ideal candidate thrives in fast-paced, hardware-focused environments and operates with a high degree of autonomy.

**Responsibilities**

**Network Architecture & Operations**

- Design, deploy, and operate enterprise and mission-critical network infrastructure across offices, test facilities, and remote environments

- Implement and manage routing protocols (BGP, OSPF), VLANs, VPNs, site-to-site connectivity, and secure tunneling architectures

- Configure and maintain firewalls, switches, and network security appliances

- Architect network segmentation strategies to isolate corporate networks from testing and data acquisition environments

- Implement Quality of Service (QoS) policies to prioritize critical data streams and ensure network reliability

- Monitor network performance, proactively identify bottlenecks, and resolve connectivity issues

**Security & Compliance**

- Enforce security policies and implement Zero Trust frameworks across all infrastructure

- Manage transport-layer security and encryption standards (TLS, OpenSSL, SHA-256)

- Collaborate with security teams to harden systems, apply patches, and maintain compliance with frameworks such as NIST 800-171 or CMMC

- Design and implement access control policies for hybrid cloud and on-premises environments

- Develop security policies and procedures for endpoint management, VPN access, and data protection

**Enterprise IT & Identity Management**

- Administer enterprise systems including Windows Server, Linux, Active Directory, DNS, DHCP, and virtualization platforms (VMware / Hyper-V)

- Manage identity and SSO across hybrid Azure AD/Entra ID and Google Workspace environments

- Oversee outsourced IT partner responsible for tier-1 help desk, device procurement, and onboarding workflows

- Lead infrastructure projects from planning through deployment, including migrations, upgrades, and system rollouts

**Cross-Functional Collaboration & Data Systems**

- Partner with software and systems teams on data ingestion pipelines, telemetry infrastructure, and real-time monitoring dashboards

- Support integration of edge automation hardware and data acquisition systems with backend infrastructure

- Design containment layers and network isolation for AI tools and automated workflows

- Provide technical guidance and infrastructure support for engineering and operations teams

**Future Facility Expansion**

- Lead end-to-end network deployment for upcoming headquarters and manufacturing facility buildouts

- Design scalable, resilient infrastructure capable of supporting high-throughput automated operations

- Establish monitoring, logging, and observability frameworks for production environments

**Requirements**

- 5+ years of experience in IT systems engineering or infrastructure roles

- Deep expertise in network protocols and fundamentals: TCP/IP, VLANs, BGP, OSPF, MPLS, routing, switching, firewalls

- Strong understanding of networking design models (L2/L3, VPC, VDC, Datacenter Zones, Spanning Tree, VRF, VTP, VLANs, and cabling)

- Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP)

- Proven experience managing Windows Server, Linux (RHEL, Ubuntu, CentOS), and Active Directory environments

- Strong knowledge of systems security, access control, hardening, and encryption protocols

- Experience with identity and access management frameworks (Azure AD, Entra ID, Google Workspace, SSO/MFA)

- Proficiency in scripting and automation using PowerShell, Bash, Python, or similar

- Ability to work independently, make high-impact technical decisions, and lead projects from planning through execution

- Strong documentation habits and ability to communicate technical concepts clearly to non-technical stakeholders

**Preferred Qualifications**

- Experience with real-time data acquisition systems, time-series databases (QuestDB, InfluxDB), or industrial control environments

- Familiarity with edge automation hardware (Opto22, PLCs) or industrial networking protocols

- Background in regulated or compliance-driven environments (defense, aerospace, critical infrastructure)

- Experience with monitoring and observability tools (Grafana, Prometheus, Datadog)

- Certifications such as CCNP, CCIE, Network+, MCSE, Security+, or relevant industry credentials

- Familiarity with NIST frameworks (800-171, 800-53) or CMMC standards

- Experience with IaC tools like Terraform, Ansible, or similar configuration management platforms

**Compensation & Benefits**

- Pre-IPO stock options

- Medical, dental, and vision insurance (Arbor covers 90% for employees)

- Basic life insurance fully covered

- Health savings account (HSA) with matching

- Flexible savings account (FSA)

- Unlimited PTO

- 12+ company holidays, including Earth Day!

- 401(k)

- Commuter benefits

- Annual learning and development stipend

- And more!

**Base Pay **: $110,000 - $140,000 USD/year. The salary is subject to the applicant's skills, qualifications, experience, and geographic location.

Our Commitment

Arbor Energy is proud to be an equal opportunity employer. We evaluate qualified applicants without regard to race, religion, national origin, gender identity or expression, sexual orientation, age, marital or veteran status, disability, or any other protected characteristic under applicable law. Solving global energy challenges requires a wide range of perspectives and experiences, and we are committed to building a team that reflects the world we serve.

Our hiring process is designed to be accessible, fair, and focused on the work that matters most for this role. Reasonable accommodations are available throughout the hiring process and employment—please let us know if you need one.

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IT Infrastructure Engineer

Location

Scotts Valley

Employment Type

Full time

Location Type

On-site

Department

Operations

OverviewApplication

**What To Expect**

Heron Power is a startup company building cutting-edge power electronics for the 21st-century grid. We aim to debottleneck the growth of electricity generation and consumption with scalable, innovative, and less costly hardware solutions, accelerating the electrification of everything.

Our first goal is to build better converters (inverters & rectifiers) to connect large-scale renewables, storage, and loads to the grid. Heron Power’s leadership team is made up of seasoned veterans who have designed and shipped gigawatts of power conversion products over the past decade.

We understand that no one individual knows everything. We will all learn ~~a lot ~~ together and from each other. We strive to build a collaborative, enriching environment conducive to personal, technical, and career growth. You can expect to work in a dynamic and collaborative environment, driven by first principles engineering, solving difficult problems.

**Job Overview**

Heron Power is transforming the infrastructure that powers our grid by developing industrial power electronics purpose-built for the 21st-century grid. The energy demand crisis is here and we’re building the answer.

Heron was founded in 2024 by Drew Baglino, the former Tesla executive who led the engineering behind the Model S drivetrain, the Model 3’s silicon carbide bet, and the buildout of the Tesla Energy Megapack. He started Heron Power because he believes that we now need the same concentration of focus, urgency, and scale that transformed electric transportation directed at the infrastructure that powers everything else. The company recently closed a $140M Series B and is gaining commercial momentum, and is at the critical moment where the story needs to be told credibly, consistently, and compellingly.

This first dedicated communications and marketing hire has the opportunity to not only define and position Heron in the public eye, but to be on the cutting edge of defining the burgeoning energy industry. This person is not inheriting a playbook, but writing it. The job is to build the narrative engine that turns Heron’s technical depth and commercial momentum into a story that establishes the brand, positions the company within the industry, and earns trust with customers, partners, and the market.

**How You Will Contribute**

- Manage Narrative Architecture: Define Heron’s voice and vocabulary that holds across every channel and audience. The blog, the customer brief, the LinkedIn post, and the press pitch should all sound like they come from the same company with the same conviction. Your job is to make sure they do.

- Story Mine: The best content Heron can produce lives inside the heads of our employees. You’ll build the relationships and the process to extract it and turn it into content that no competitor can replicate. You also keep your finger on the pulse of industry conversations, competitor moves, and the moments where Heron should have a voice.

- Drive the Editorial Pipeline: Own the content calendar end to end — what gets made, when it ships, how it maps to the BD calendar and company milestones.

- Shape Channel Strategy and Distribution: Own the blog, newsletter, and LinkedIn. You have a clear point of view on what goes where and why. You test new channels, revamp existing ones, and identify opportunities to amplify Heron’s story at the right moments.

- Leverage Earned Media: Build relationships with the journalists and publications that matter in energy, infrastructure, and climate tech. Place stories proactively. Manage inbound press. Position Heron’s leadership as credible voices in the conversations shaping this industry.

**What You Will Bring**

You are an intellectually curious, creative storyteller and problem solver. You love making the complex simple and the abstract resonate. You thrive in the fast pace of a startup, able to build from scratch, think big, start small, and deliver. You’re comfortable being the only person in the room with your expertise and you know how to make engineers, founders, and operators trust your judgment. You’re a builder who lives at the intersection of strategy and execution and doesn’t wait to be told what matters.

**Must Have Requirements**

- 7–10 years in B2B communications, content strategy, or technical marketing, ideally in energy, climate tech, deep tech, or infrastructure. You know the difference between what an investor needs to hear and what a customer needs to understand.

- Strong writing at the center of everything you do. You can write the technical explainer, the customer brief, and the newsletter.

- A track record of delivering communications initiatives with measurable outcomes.

- Fluency with AI tools. You use them to extend your output and operate at the capacity of a larger team. Your strategic judgment is your own.

**What Success Looks Like**

By the end of year one: Heron has a clear, consistent voice in the market. Our content pipeline is running. The right journalists know who we are. Customers and partners encounter the same coherent story across every touchpoint. And the founding team has a trusted partner who makes them sharper and more visible.

If you are passionate about technology and enjoy working in a fast-paced environment, we would love to hear from you. Join us in accelerating the electrification of everything at Heron Power.

Heron Power provides competitive compensation (salary and equity) and benefits. The salary for this role ranges from $140,000 to $200,000 per year.

**How You Will Contribute**

- Manage Narrative Architecture: Define Heron’s voice and vocabulary that holds across every channel and audience. The blog, the customer brief, the LinkedIn post, and the press pitch should all sound like they come from the same company with the same conviction. Your job is to make sure they do.

- Story Mine: The best content Heron can produce lives inside the heads of our employees. You’ll build the relationships and the process to extract it and turn it into content that no competitor can replicate. You also keep your finger on the pulse of industry conversations, competitor moves, and the moments where Heron should have a voice.

- Drive the Editorial Pipeline: Own the content calendar end to end — what gets made, when it ships, how it maps to the BD calendar and company milestones.

- Shape Channel Strategy and Distribution: Own the blog, newsletter, and LinkedIn. You have a clear point of view on what goes where and why. You test new channels, revamp existing ones, and identify opportunities to amplify Heron’s story at the right moments.

- Leverage Earned Media: Build relationships with the journalists and publications that matter in energy, infrastructure, and climate tech. Place stories proactively. Manage inbound press. Position Heron’s leadership as credible voices in the conversations shaping this industry.

**Must Have Requirements**

- 7–10 years in B2B communications, content strategy, or technical marketing, ideally in energy, climate tech, deep tech, or infrastructure. You know the difference between what an investor needs to hear and what a customer needs to understand.

- Strong writing at the center of everything you do. You can write the technical explainer, the customer brief, and the newsletter.

- A track record of delivering communications initiatives with measurable outcomes.

- Fluency with AI tools. You use them to extend your output and operate at the capacity of a larger team. Your strategic judgment is your own.

**How You Will Contribute**

- Manage Narrative Architecture: Define Heron’s voice and vocabulary that holds across every channel and audience. The blog, the customer brief, the LinkedIn post, and the press pitch should all sound like they come from the same company with the same conviction. Your job is to make sure they do.

- Story Mine: The best content Heron can produce lives inside the heads of our employees. You’ll build the relationships and the process to extract it and turn it into content that no competitor can replicate. You also keep your finger on the pulse of industry conversations, competitor moves, and the moments where Heron should have a voice.

- Drive the Editorial Pipeline: Own the content calendar end to end — what gets made, when it ships, how it maps to the BD calendar and company milestones.

- Shape Channel Strategy and Distribution: Own the blog, newsletter, and LinkedIn. You have a clear point of view on what goes where and why. You test new channels, revamp existing ones, and identify opportunities to amplify Heron’s story at the right moments.

- Leverage Earned Media: Build relationships with the journalists and publications that matter in energy, infrastructure, and climate tech. Place stories proactively. Manage inbound press. Position Heron’s leadership as credible voices in the conversations shaping this industry.

**Must Have Requirements**

- 7–10 years in B2B communications, content strategy, or technical marketing, ideally in energy, climate tech, deep tech, or infrastructure. You know the difference between what an investor needs to hear and what a customer needs to understand.

- Strong writing at the center of everything you do. You can write the technical explainer, the customer brief, and the newsletter.

- A track record of delivering communications initiatives with measurable outcomes.

- Fluency with AI tools. You use them to extend your output and operate at the capacity of a larger team. Your strategic judgment is your own.

**What Success Looks Like**

By the end of year one: Heron has a clear, consistent voice in the market. Our content pipeline is running. The right journalists know who we are. Customers and partners encounter the same coherent story across every touchpoint. And the founding team has a trusted partner who makes them sharper and more visible.

If you are passionate about technology and enjoy working in a fast-paced environment, we would love to hear from you. Join us in accelerating the electrification of everything at Heron Power.

Heron Power provides competitive compensation (salary and equity) and benefits. The salary for this role ranges from $140,000 to $200,000 per year.

Director of Marketing & Communications

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