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Who We Are
Core Scientific is a leading provider of infrastructure for high-performance compute in North America. Our mission is to accelerate digital innovation by scaling high-value compute rapidly, efficiently, and responsibly. We transform energy into high-value compute with unmatched efficiency at scale. The company is a $5 billion publicly traded company (NASDAQ: CORZ).
We power AI, HPC, and other next-generation data center workloads demanding exceptional computing power, in addition to our digital asset mining operations. We own and operate nine data centers in seven states, housing advanced infrastructure for our customers.
What sets us apart? We have an entrepreneurial culture, a "can-do" and collaborative attitude, and we own and control our infrastructure. These strategic advantages enable us to maintain operational excellence, increase efficiency, and rapidly deploy cutting-edge innovations developed by our team of experts.
Join us and accelerate your career alongside our groundbreaking journey. We seek smart, creative, and collaborative professionals who thrive in a fast-paced, result-driven environment. Ready to be part of something exceptional? Apply today and make an impact at Core Scientific.
Title
Data Center Design Engineer
Reports To
Vice President, Data Center Design
The Job
We are seeking a highly experienced and innovative Data Center Design Engineer to lead our data center projects. The ideal candidate will have a deep understanding of data center design, construction, and operations, with a strong background in engineering and project management; roles in operations are a plus but not required. This role involves overseeing the entire lifecycle of data center projects, from initial design through to commissioning and operational handover.
Responsibilities
Qualifications
Location
To be considered for this role, you must reside near the following locations: Miami, FL, Austin, TX, Pecos, TX, Denton, TX, Muskogee, OK, Grand Forks, ND, Calvert City, KY, Marble, NC, Dalton, GA or Auburn, AL
Travel
Frequent travel may be required as needed. (50% of the time.)
Work Environment
This job operates in a professional office environment and routinely utilizes standard equipment, including laptop computers and smartphones.
Physical Demands
While performing the duties of this job, the employee is frequently required to sit, stand, walk, use hands, and lift up to 25 pounds.
Position Type/ Expected Hours of Work
This is a full-time position. General hours and days of work are Monday through Friday, 8:00 a.m. to 5:00 p.m. Some nights and weekends may be required.
Supervisory Experience (Yes or No)
No
Ready to apply?
Apply to Core Scientific
Share this job
Who We Are
Core Scientific is a leading provider of infrastructure for high-performance compute in North America. Our mission is to accelerate digital innovation by scaling high-value compute rapidly, efficiently, and responsibly. We transform energy into high-value compute with unmatched efficiency at scale. The company is a $5 billion publicly traded company (NASDAQ: CORZ).
We power AI, HPC, and other next-generation data center workloads demanding exceptional computing power, in addition to our digital asset mining operations. We own and operate nine data centers in seven states, housing advanced infrastructure for our customers.
What sets us apart? We have an entrepreneurial culture, a "can-do" and collaborative attitude, and we own and control our infrastructure. These strategic advantages enable us to maintain operational excellence, increase efficiency, and rapidly deploy cutting-edge innovations developed by our team of experts.
Join us and accelerate your career alongside our groundbreaking journey. We seek smart, creative, and collaborative professionals who thrive in a fast-paced, result-driven environment. Ready to be part of something exceptional? Apply today and make an impact at Core Scientific.
Title
Staff Site Reliability Engineer
Reports To
Site Reliability Engineering Manager
The Job
We are seeking a capable, motivated generalist who thrives in a change-controlled, compliant environment and enjoys working across hybrid cloud and on-premises systems. This role partners closely with application architecture and peer engineering teams while contributing hands-on across platform engineering, DevOps, and SRE.
This position is expected to take ownership of complex technical initiatives and see them through to completion—balancing hands-on implementation with effective delegation and cross-team coordination.
Responsibilities
Qualifications
Location
To be considered for the role you must reside near Miami, FL or Austin, TX.
Travel
Occasional travel may be required
Work Environment
This job typically operates in a professional office environment and routinely utilizes standard equipment, including laptop computers and smartphones. This role may also travel to data center sites, and the work environment at a data center may contain loud noise, construction, and other operational elements.
Physical Demands
While performing the duties of this job, the employee is frequently required to sit, stand, walk, use hands, and lift up to 25 pounds.
Position Type/ Expected Hours of Work
This is a full-time position. General hours and days of work are Monday through Friday, 8:00 a.m. to 5:00 p.m. The employee is expected to be available generally around U.S. time zones and will be part of an on-call rotation. The current rotation is 1 week every 5 weeks.
Supervisory Experience (Yes or No)
No
Ready to apply?
Apply to Core Scientific
Share this job
Who We Are
Core Scientific is a leading provider of infrastructure for high-performance compute in North America. Our mission is to accelerate digital innovation by scaling high-value compute rapidly, efficiently, and responsibly. We transform energy into high-value compute with unmatched efficiency at scale. The company is a $5 billion publicly traded company (NASDAQ: CORZ).
We power AI, HPC, and other next-generation data center workloads demanding exceptional computing power, in addition to our digital asset mining operations. We own and operate nine data centers in seven states, housing advanced infrastructure for our customers.
What sets us apart? We have an entrepreneurial culture, a "can-do" and collaborative attitude, and we own and control our infrastructure. These strategic advantages enable us to maintain operational excellence, increase efficiency, and rapidly deploy cutting-edge innovations developed by our team of experts.
Join us and accelerate your career alongside our groundbreaking journey. We seek smart, creative, and collaborative professionals who thrive in a fast-paced, result-driven environment. Ready to be part of something exceptional? Apply today and make an impact at Core Scientific.
Title
Enterprise Architect
Reports To
Chief Technology Officer
The Job
As organizations scale, digital systems outpace the assumptions that shaped them. Permissions accumulate, automation compounds, reconciliation logic ages, and integrations drift until policy and documentation alone can no longer ensure that system behavior reflects operational, financial, and revenue-generating reality.
We are seeking an Enterprise Architect within the Technology organization to ensure that enterprise systems operate with durable precision as complexity increases. The mandate is dual: contain structural risk and harden the enterprise into a disciplined, programmatic system that accelerates revenue, efficiency, and enterprise value. Reporting to the Chief Technology Officer and operating across engineering, data, finance, and operations, this role carries executive sponsorship aligned with CEO directive to strengthen institutional precision so that technology compounds advantage rather than complexity.
Digital systems define operational truth and revenue execution. When architecture diverges from real-world behavior, inefficiency compounds quietly, throughput slows, reporting distorts, and value erodes. This role engineers durability directly into system design—strengthening control architecture, validating behavior, eliminating operational debt, and maintaining disciplined access models so efficiency becomes structural rather than dependent on vigilance.
Success is measured by increasing precision at scale. Systems align with operational and financial reality without constant intervention, weaknesses are surfaced before they compound, automation reinforces accountability rather than obscuring it, and improvements in control architecture translate into faster decision velocity, cleaner financial signal, reduced workflow friction, and measurable performance gains. Hardening removes fragility without introducing bureaucracy; precision increases speed.
This is not a compliance or audit function. It is a high-trust, senior individual contributor role embedded within live enterprise systems with direct access to the CTO and visibility aligned with CEO mandate.
Responsibilities
Qualifications
We are intentionally open to unconventional backgrounds. Exceptional candidates may have experience as:
You are likely a solution-oriented operator who derives energy from untangling nuisance technology, cleaning up degraded workflows, and eliminating inefficiencies that others tolerate.
AI proficiency is foundational in this role. You are expected to use AI as a primary analytical engine, a bridging mechanism between systems, and a general-purpose accelerator for investigation, modeling, and solution design. This includes building repeatable AI-assisted workflows that combine data extraction, anomaly detection, hypothesis testing, and structured reporting.
You do not need to be a full-time software engineer. However, you must be technically literate enough to move beyond dashboards and into underlying system logic, and disciplined enough to operationalize AI into repeatable investigative infrastructure.
Location
Austin, TX or Miami, FL. While proximity to our core offices is preferred, we prioritize capability and alignment with mandate and will consider remote candidates where appropriate.
Travel
Occasional travel will be required up to 25%.
Work Environment
This job typically operates in a professional office environment and routinely utilizes standard equipment, including laptop computers and smartphones. This role will also travel to data center sites and the work environment at a data center may contain loud noise, construction and other operational elements,
Physical Demands
While performing the duties of this job, the employee is frequently required to sit, stand, walk, use hands, and lift up to 25 pounds.
Position Type/ Expected Hours of Work
This is a full-time position. General hours and days of work are Monday through Friday, 8:00 a.m. to 5:00 p.m. Some nights and weekends may be required.
Supervisory Experience (Yes or No)
No
Ready to apply?
Apply to Core Scientific
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Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes.
This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis.
You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
Avride is a US-based developer of autonomous vehicles and delivery robots. We develop and operate both autonomous cars and delivery robots that share technologies and mutually benefit from each other's advancements—a unique approach in the industry.
At Avride, ML Engineer Interns operate at the intersection of cutting-edge academic research and real-world engineering. You will use our massive datasets of real driving logs to train models and develop algorithms.
During this internship, you will be embedded in our Perception team. The Perception team serves as the eyes and ears of our autonomous vehicles, transforming raw data from cameras, LiDAR, and microphones into a precise, real-time 3D understanding of the surrounding world.
You will be paired with a dedicated senior mentor and work on problems directly impacting real-world driving performance. This program is designed to give you a deep understanding of how to take a theoretical concept or novel system architecture, prototype it, and evaluate its performance within a complex, safety-critical stack.
We are currently offering four different internships within our Perception Team for the Summer of 2026.
Long-Tail 3D Entity Recognition via Pre-Trained 2D Models
RGB-Only 3D Perception & RGB-LiDAR Fusion
Data Engineering - Visual Scene Search via Vector Embeddings
Audio Signal Processing & Siren Recognition Pipeline
Please note that this is an in-person internship based at our office in Austin, Texas. We are prioritizing candidates who currently reside within commuting distance of Austin. We do not provide relocation assistance, travel reimbursement, or housing stipends for this position.
Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available.
Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.
Ready to apply?
Apply to Avride
Avride is at the forefront of autonomous mobility, developing and deploying state-of-the-art self-driving cars and delivery robots. We’re shaping the future of transportation and logistics—and our Labeling Team plays a vital role in bringing that vision to life.
The Labeling Backend Team builds the data infrastructure that powers groundbreaking research and development across our labeling pipelines, data preparation workflows, and model training processes. The high-quality labeled data we deliver is critical to advancing our core technologies and supports the diverse range of models that drive our entire business.
We are looking for a Research Engineer to improve the quality and representativeness of datasets powering our self-driving systems. You will design algorithms and tools for auto-labeling, data mining and dataset monitoring, combining strong Python engineering with applied ML concepts. Your work will directly enhance data efficiency, reduce labeling costs, and improve model performance.
Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available.
Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.
Ready to apply?
Apply to Avride
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Allen Control Systems (ACS) is a cutting-edge defense startup founded by two ex-Navy electrical engineers with a proven track record in robotics and software. We are developing a small, autonomous gun turret that employs advanced computer vision and control systems to precisely target and neutralize small drones and loitering munitions. Our innovative approach requires overcoming significant technical challenges, making this an exciting and dynamic environment for experienced engineers.
With an engineering-first culture, ACS values technical excellence and continuous learning. Backed by our founders' successful exits from two previous ventures acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop have a real-world impact.
Position Overview:
We are seeking a Data Platform Engineer who combines expert-level data infrastructure skills with a strong knowledge of AI & Machine Learning principles. In this role, you will go beyond simple data validation scripts; you will apply your understanding of model training dynamics to design and implement existing and novel approaches to optimize our datasets.
You will build and maintain large-scale image and video pipelines, but with a focus on data curation strategies—such as coreset selection, embedding-based filtering, and automated complexity scoring. You’ll partner closely with our ML engineers to orchestrate ingestion, synthetic data generation, and versioned releases, ensuring that every dataset is not only high-integrity and available but strictly optimized to maximize model performance.
What You’ll Do:
What You’ll Need:
You’ll Stand Out:
What We Offer:
Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Ready to apply?
Apply to Allen Control SystemsCookies & analytics
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