Experience Requirements:

• Have 1-5 years (or more) of software engineering experience building real-world applications

• Know Typescript/React/NextJS, Python, Relational DBs (Postgres)

• Enjoy working in a fast moving startup with low amounts of process

• Have excellent communication skills, with a strong ability to collaborate with others (both teammates and external customers)

Other Requirements:

• Experience with Docker/Kubernetes, cloud technologies (AWS, GCP, Azure), and on-prem/cloud deployments

• Experience (or even just interest) in AI (NLP, Deep Learning, GenAI) and information retrieval

• Previous founder or early engineer at seed/series-A startup

Responsibilities:

• Building a consumer grade UI experience for the GenAI Chat, Enterprise Search, Agents, and Admin features

• Extending the backend functionalities and APIs (see below)

• Improving the flexibility and quality of the search pipeline, building a semantic understanding of customer organizations, extending the current permission/access controls, and expanding the knowledge curation features

• Implementing the latest approaches in NLP research like LLM based Knowledge Graphs, StructRAG, Agent/Deep-Research, etc. to increase the range of questions the system can answer (AI / deep learning experience not required)

• Own the entire development cycle of new features, from conception to production

Experience Requirements:

• Have 3+ years of AI/ML engineering experience building real-world applications

• have in-depth experience with PyTorch/Tensorflow, NLP models, and standard ML algorithms

• Are up date with new advances such as open source/proprietary LLMs, RAG and agent-frameworks

• Strong software engineering background and capable of building backend features with web frameworks, ORMs and relational DBs

• Excellent communication skills and ability to collaborate with full stack roles

Other Requirements:

• Familiar with the full stack Typescript/React/NextJS, Python, Postgres

• Interested in writing technical blogs to establish Onyx is leader in the space

Responsibilities:

• Evaluating and implementing LLM based knowledge graphs, advanced RAG approaches (StructRAG, etc.), LLM agents, advances in NLP, multi-modal transformers, advanced information retrieval algorithms

• Working on users’ experience with the platform through features like learn from feedback, search personalization, SME suggestion, etc.

• Build a semantic and programmatically useful understanding of the organization's priorities, projects, and people as additional signals to the answering capabilities of Onyx

• Own the approach from inception to validation to production code

• Collaborate with Founders and the Head of AI to shape and influence the direction of the product and contribute to the AI/ML engineering strategy

Benefits:

• fully covered health/dental/vision

• transportation reimbursement

• Free meals

• Stocked kitchen with drinks, snacks, matcha and an espresso machine

• Monthly company outings (bike rides to Mt. Tamalpais, escape rooms, etc.)

Education Requirements:

• Degree in Computer Science or related technical field

Experience Requirements:

• 4+ years of frontend engineering experience building complex, user-facing applications

• Have an incredible bar for yourself and for others. You want your work to be exceptional, and accept nothing less.

• In-depth experience with JavaScript, TypeScript, React, NextJS and other modern frontend technologies

• Excellent communication skills and ability to collaborate with cross-functional teams

• Strong product/design intuition.

Other Requirements:

• Familiar with Python, Postgres

• Previous founder or early engineer at seed/series-A startup

Responsibilities:

• Doing everything frontend for the default open-source chat interface, enterprise search platform, and agent builder.

• Collaborating closely with the design team + founders

• Setting frontend priorities and best practices

• Building an exceptional design / frontend engineering culture

• Fostering an open-source community; guiding contributors on adding to the frontend

Benefits:

• Competitive salary package

• Medical insurance

• Dental insurance

• Vision insurance

• Life insurance

Education Requirements:

• PhD (or MS working towards a PhD) in Computer Science, related technical field or equivalent practical experience

Experience Requirements:

• Strong programming experience in one or more of the following: C, C++, Python, Java.

• Relevant work experience, including full-time industry experience or as a researcher in a lab

• Strong publication record

• Ability to design and execute a research agenda.

• Personal or professional experience in working with people of diverse backgrounds.

Responsibilities:

• Participate in cutting edge research in the following areas: Data Management and Integration, Data Mining, Machine Learning, Natural Language Processing, Knowledge Representation, Bot interfaces, Crowdsourcing, and Visualization.

• Develop solutions for real world, and work on large scale problems.

Experience Requirements:

• Strong engineering fundamentals and experience building and operating large-scale distributed systems

• Deep familiarity with HPC & GPU cluster management using Kubernetes and Slurm

• A blend of developer empathy and raw performance engineering, designing systems and tools that are intuitive to use and fast

• Ability to balance principled engineering with the urgency of keeping mission-critical systems alive

• Proficiency with Infrastructure-as-Code tools (Terraform, Ansible, etc.) and observability tools (Prometheus, Grafana, etc.)

Other Requirements:

• Strong debugging skills— comfortable diagnosing NCCL issues, CUDA errors, and network or driver-level faults.

• Experience optimizing large-scale distributed training frameworks such as DeepSpeed, Megatron-LM, or similar

• Familiarity with advanced parallelization techniques such as FSDP, context parallelism, or tensor parallelism

Responsibilities:

• Design and build large-scale GPU clusters for model training and low-latency inference

• Develop automation for provisioning, scaling, and monitoring to ensure clusters are fast, resilient, and self-healing

• Collaborate closely with research and product teams to enable distributed training at scale, optimizing for speed, reliability, and utilization

• Implement robust observability and alerting systems to monitor GPU health, node stability, and job performance

• Diagnose and triage hardware, networking, and distributed training issues across environments, coordinating with provider support as needed

Benefits:

• Lunch, dinner and snacks at the office

• Fully covered medical, dental, and vision insurance for employees

• 401(k)

• Relocation and immigration support

• Your own personal Yoshi

Education Requirements:

• Degree in Computer Science, Engineering, or related technical field, or equivalent professional experience

Experience Requirements:

• 8+ years of product management experience for highly technical products, preferably in AI/ML or developer tools

• Proven track record with shipping products that developers and enterprises rely on

• Strong technical communication skills with ability to explain complex AI concepts to both technical and non technical audiences

• Experience working directly with customers to gather requirements and influence product development

• Understanding of AI model evaluation, testing methodologies, and performance metrics

Other Requirements:

• Direct experience conversational AI products

• Experience building and leading high-performing product teams in fast-growing environments

• Background in AI/ML product development

• Experience building product management 0 to 1 at an early stage startup (Series A or B)

Responsibilities:

• Build and optimize enterprise-grade voice AI agents powered by our state-of-the-art audio models across diverse use cases

• Drive product excellence through rigorous evaluation frameworks and testing methodologies for both audio models and voice agents, creating benchmarks for performance, naturalness, and user satisfaction

• Engage deeply with customers and design partners across all organizational levels to discover requirements, deliver compelling demonstrations, and secure strategic partnerships

• Execute our agent product roadmap in close alignment with our GTM team, ensuring customer feedback directly influences development priorities and market expansion strategies

• Establish voice AI standards by creating comprehensive best practices, implementation guides, and training materials for customers building voice experiences

Benefits:

• Competitive compensation package

• Health, Dental and Vision Insurance

• 401k with matching

• Company paid life and short-term disability insurance

• Company paid parking or transit pass

Education Requirements:

• Bachelor’s degree (B.A.)

• HSE / DOT compliance certification

Experience Requirements:

• 10+ years leading and mentoring DOT professionals and performing USDOT/FMCSA driver/vehicle roadside inspections or related experience and/or training

• Experience managing an HSE / DOT department

• At least 10+ years of leading and mentoring HSE professionals in the trucking industry

• Must have corporate rep deposition experience

• Prior oilfield experience required

Other Requirements:

• Must be a subject matter expert in all matters related to USDOT roadside inspections and the CVSA Out of Service Criteria

• Expertise with drug & alcohol policies and procedures

• Experience in writing policy and procedures for compliance with USDOT/FMCSA regulations

• Experience in presenting findings to large groups of people

• Fluency in speaking and writing in Spanish, preferred but not required

• Proficiency in Microsoft Office (outlook, excel, word)

• Demonstrate a strong sense of urgency in all projects and an ability to prioritize and re-prioritize as necessary

• Ability to multi-task projects and required tasks in an organized fashion

• Ability to work in a team environment as well as self-motivated in individual projects

• Ability to communicate both verbally and written to all levels of the organization

• 75% travel to the field

Responsibilities:

• Lead and mentor the Carrier Auditing, Claims and Field HSE / DOT teams, both energy and non-energy related

• Manage the vetting and ongoing compliance for roughly 1,000 brokered motor carriers

• Ensure state and national compliance with HSE / DOT regulations

• Ensure carrier compliance with established journey management plans

• Oversee and lead incident investigation and root cause analysis

Benefits:

• Competitive compensation package

• Health, Dental and Vision Insurance

• 401k with matching

• Company paid life and short-term disability insurance

• Company paid parking or transit pass

Education Requirements:

• Associate or bachelor’s degree

• Paralegal certification preferred

Experience Requirements:

• 1-10 years related experience and/or training

Other Requirements:

• Highly proficient with MS Office applications (Word, Excel, and PowerPoint) as well as internet-based applications

• Familiarity with AI tools and large language models (LLMs) for legal research, document drafting, and process automation preferred

• Willingness to work in an office-based workplace

• Detail-oriented, able to work independently and on a team, and the ability to stay on task

• Excellent organization, communication, teamwork and problem-solving skills

• Professional, self-motivated, strong work ethic, driven to meet performance goals

• High degree of accountability, integrity, utmost confidentiality in all company matters

Responsibilities:

• Maintains schedules for meetings, hearings, trials, arbitrations, and depositions

• Drafts and edits legal documents such as forms, contracts, and general correspondence

• Understands and uses correct legal terminology, standard formats, and procedures to prepare documents

• Conducts legal research, fact-finding, data collection, and analysis

• Manages, organizes, and archives agreements with a contracts lifecycle management system

Benefits:

• Competitive salary and stock options

Education Requirements:

• Graduate degree (MPhil or PhD) in Computer Sciences, Computer Engineering, Mathematics, or related technical fields

Experience Requirements:

• Experienced in Natural Language Processing, Computer Vision or Speech Processing

• Familiar with programming languages such as Python and advanced knowledge on deep learning frameworks such as Pytorch, Tensorflow or Jax

• Strong publication record in top conferences (ACL, EMNLP, NeurIPS, ICML, AAAI, IJCAI, Interspeech, ICASSP etc.)

• Experienced in Dialogue Systems both Task-Oriented and Chit-Chat using Neural Models

Other Requirements:

• Excellent written and verbal technical communication skills in English

Responsibilities:

• Collaborate with other researchers and platform engineers to help invent, implement, and connect sophisticated algorithms

• Conduct research in Natural Language Processing (NLP) and Machine Learning (ML), preferably using Deep Learning, while being connected with the engineering team

Education Requirements:

• MS/PhD in EE

Experience Requirements:

• Strong logic design and verification background

• Possess very basic knowledge of DFT

• Skilled in Perl/tcl programming

• Proficient at Verilog HDL

• Prefer to have experience with logic simulators and debug tools (such as vcs, ncsim, verdi)

Other Requirements:

• Familiar with C/C , Makefile is a plus

• Strong problem solving and analytical skills

• Excellent communication skills and teamwork

Responsibilities:

• DFT logic implementation and verification

• Maintain DFT flow and run regression

• Run DFT verification

• Pattern generation and bringup

Education Requirements:

• Advanced degree (PhD preferred) in Computer Science, Biomedical Engineering, Medical Physics, or related field

Experience Requirements:

• 15+ years of software engineering and technology leadership experience, with 5+ years in a senior technology leadership role

• Deep AI/ML expertise with hands-on experience in medical imaging, computer vision, and biomarker development

• Healthcare technology experience with knowledge of medical imaging standards (DICOM), regulatory frameworks, and clinical workflows

• Oncology domain knowledge with understanding of cancer biology, treatment modalities, and clinical significance of imaging biomarkers

• MLOps and platform experience with tools like ClearML, managing ML pipelines, and deploying models in regulated environments

Other Requirements:

• Strong communication skills and ability to work with clinical and business stakeholders

Responsibilities:

• Drive technical strategy across both engineering and AI research teams, ensuring seamless collaboration and knowledge transfer

• Maintain hands-on involvement in AI/ML pipeline development and medical imaging analysis

• Establish and evolve MLOps practices using ClearML and similar platforms for model development, validation, and deployment

• Lead and grow a unified technology organization combining engineering and AI research expertise

• Ensure all technology development meets FDA and other regulatory standards for medical devices

Benefits:

• bonus

• pension

Benefits:

• Medical insurance

Benefits:

• Medical insurance

Benefits:

• Highly competitive salary

• Flexible working hours

• Awesome team events from going to conferences together to joint workations and offsites once a year at a sunny location

• Opportunity to have a high and lasting impact on product, company and people

• A place where you are valued not only for you expertise but also as a human as part of a team where most consider each other not only to be a colleagues but friends

Education Requirements:

• Enrolled student at a university or college in the Karlsruhe area.

• Major in Computer Science, Business Informatics, or a comparable technical field.

Experience Requirements:

• Experience with scripting languages like Bash and Python is a must-have for automation tasks.

• Basic understanding of software testing methods and quality assurance principles.

• Familiarity with Version Control Systems (e.g., Git).

Other Requirements:

• Strong motivation to work independently and take ownership of tasks.

• Bonus: First contact with agile development methodologies (Scrum/Kanban).

• Good command of German and/or English (written and spoken) for team communication and documentation.

Responsibilities:

• Software Testing: Active execution and documentation of various testing types.

• E2E Test Automation: Creating, maintaining, and running automated End-to-End tests.

• Analyzing test results, identifying failures, and documenting bugs clearly for the development team.

• Performing Exploratory Testing to find critical bugs and corner cases.

• Supporting the development team with error analysis and reproduction.

Benefits:

• Competitive pay

• Desk setup

• 401K match

• MacBook Pro + Accessories

• Health Coverage

Experience Requirements:

• a few years under your belt and proven you can punch way above your weight

Other Requirements:

• relentless problem-solver who thrives in fast-paced environments

• excited about working extremely hard

• loves experimentation

• isn’t afraid to get their hands dirty with work that is non-traditional for a marketing role

• can produce higher quality work than anyone you know, and you can do it twice as fast

• top tier communicator, storyteller, and writer

• has a knack for understanding what great marketing looks like

• knows how to execute your own original playbooks

• never turns down a challenge

• can pick up and learn new technical tools extremely quickly

• owns everything you do, good or bad

• doesn’t fear failure, fears stagnation

• wants to build from the ground up

• can mix creativity with an analytical mindset and is comfortable working with data and dashboards

• Experience growing B2C products from 0-1 (Bonus)

• Background in healthcare or health & wellness (Bonus)

• Previous founder, startup, or high growth experience (Bonus)

Responsibilities:

• Execute on SEO/AEO strategies to drive traffic to our website

• Own our organic social media presence, creating engaging video and still frame content

• Create engaging video and still frame content for paid social ad campaigns

• Build and refine referral programs, email sequences, and lifecycle marketing to improve retention

• Automate outreach to influencers and partners to expand our creative asset library

Benefits:

• work-life balance

• positive culture

• indoor ball court

• rooftop terrace

• well-equipped gym

Experience Requirements:

• Proven experience in a similar role at Senior Analytics Engineer level or above

• Expert-level proficiency in SQL, dbt, and data modeling

• Strong experience with analytics engineering best practices

• Proven ability to mentor and develop technical talent

• Strategic mindset with ability to balance technical excellence with business pragmatism

Other Requirements:

• Demonstrated ability to influence technical standards and drive adoption through value

Responsibilities:

• Influence foundational data architecture strategy

• Shape analytics engineering practice across the data team and embedded analysts

• Design and champion the metrics layer and semantic definitions

• Mentor and develop analytics engineering talent

• Drive continuous improvement of analytics engineering capabilities

Benefits:

• work-life balance

• positive culture

• indoor ball court

• rooftop terrace

• well-equipped gym

Experience Requirements:

• Proven experience in a similar role at Senior level

• Extensive experience with data infrastructure and architecture at scale

• Proficient in at least one programming language, preferably Python

• Fluent in SQL and you understand the internals of modern data warehouses (ideally BigQuery)

• Comprehensive verbal and written English communication skills

Other Requirements:

• Demonstrated value creation mindset toward both internal and external customers

Responsibilities:

• Design, build, and maintain the Veo data platform and pipelines from end-to-end

• Collaborate with business stakeholders, software engineers, and analytics engineers

• Develop and maintain scalable, efficient, and reliable ETL processes

• Work with stakeholders to identify and prioritize analytics requirements

• Proactively monitor data infrastructure, troubleshoot, and resolve data-related issues

Benefits:

• work-life balance

• positive culture

• indoor ball court

• rooftop terrace

• well-equipped gym

Experience Requirements:

• Proven experience in a similar role at Senior Analyst level or above

• Strong proficiency in SQL, Python, and advanced statistical analysis

• Strategic mindset with deep understanding of business dynamics

• Strong communication and influence skills

• Ability to build organizational analytical capabilities

Other Requirements:

• Demonstrated ability to create business value through analytical influence and product thinking

Responsibilities:

• Influence company-wide strategic direction by identifying high-impact analytical opportunities

• Develop and maintain scalable analytical methodologies and frameworks

• Champion adoption of advanced analytical approaches, including A/B testing and experimentation

• Propagate analytical excellence across teams through mentoring, documentation, and knowledge sharing

• Collaborate closely with executives and cross-functional teams

Benefits:

• work-life balance

• positive culture

• indoor ball court

• rooftop terrace

• well-equipped gym

Experience Requirements:

• 2–5 years in strategy, business development, or commercial roles

• Passion for sports, with a strong understanding of US sports culture and market dynamics

• Experience validating and scaling new revenue initiatives (SaaS/tech a plus)

• Strong commercial and analytical skills

• Experience running pilots, customer interviews, or early-stage go-to-market strategies

Other Requirements:

• Ability to balance “Build vs. Buy” options, including M&A/partnership opportunities

• Confident in influencing senior stakeholders, excellent written and spoken English

Responsibilities:

• Identify and evaluate new growth opportunities in sports, geographies, and business segments

• Lead market research, customer interviews, and competitive analysis in target areas

• Design and test pilots to validate monetization and product fit

• Build clear business cases and investment recommendations for leadership

• Translate approved initiatives into actionable plans for product and commercial teams