Benefits:

• Base salary £150K – £300K

• Significant equity

• World-class compensation

• Work with exceptional colleagues

• Expand your network

Responsibilities:

• Build a distributed system to concurrently replay thousands of sessions

• Integrate Meticulous into the inner loop of agentic code generation

• Derive algorithms to detect sessions that cover differing code paths

• Work directly with engineering leaders across the world's top technology companies

Benefits:

• OTE $280K – $400K

• Offers Equity

• Offers Commission

• Uncapped commission

• Work with engineers from Uber, Google, etc.

Experience Requirements:

• 5+ years of experience in an account executive or sales engineer role selling to a technical buyer

• Top performance at prior roles (presidents club, sales club)

Other Requirements:

• Excel at selling to deeply technical buyers

• Willingness to travel to visit customers on-site

Responsibilities:

• First sales hire and join a team of ten

• Partner with world-class engineers on each deal

• Manage ACVs ranging from $100k to $1m+

• Handle inbound leads and scale marketing channels

Education Requirements:

• Bachelor’s degree in Engineering, Business, Science, Mathematics, Finance, or Healthcare

Experience Requirements:

• Minimum of five (5) years of experience in a similar role or function

• Experience managing agile product teams and collaborating with engineers and designers

• Strong analytical and problem-solving skills

• Excellent communication and relationship-building abilities

Responsibilities:

• Build and nurture relationships with business partners, stakeholders, and customers.

• Take full product management responsibility for one large product area or two smaller teams.

• Set clear goals, standards, and protocols while managing resources effectively.

• Identify opportunities for improvement across teams and processes.

• Own and deliver on the product roadmap with precision and consistency.

Experience Requirements:

• 5–7 years of experience in ML engineering or applied machine learning.

• Strong proficiency in Python and libraries like Pandas, Dask, NumPy, Scikit-learn.

• Hands-on experience with PyTorch or TensorFlow for model development.

• Solid understanding of MLOps tools: Airflow, Kedro, MLflow (or equivalents).

• Experience deploying ML models in production environments (APIs, batch jobs, streaming).

Other Requirements:

• Familiarity with containerization (Docker) and orchestration (Kubernetes).

• Exposure to cloud platforms (Azure, AWS, or GCP) for ML workloads.

• Experience with Power BI or similar BI tools for analytics and visualization.

Responsibilities:

• Design, train, and optimize ML models using PyTorch or TensorFlow for production-grade applications.

• Build scalable data pipelines for feature engineering and model training using Pandas or Dask.

• Develop and maintain ML workflows using Airflow, Kedro, and MLflow for reproducibility.

• Automate model deployment and lifecycle management across environments.

• Collaborate with business and analytics teams to translate ML outputs into actionable insights.

Benefits:

• Culture of mutual trust

• Professional growth opportunities

• Support and passion environment

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field

Experience Requirements:

• 5+ years of experience in Platform, Site Reliability Engineering (SRE), or Cloud Engineering

• Strong expertise in Kubernetes and containerized applications

• Hands-on experience with AWS or GCP

• Proficiency with Terraform and Infrastructure as Code (IaC)

• Fluent in English

Other Requirements:

• Knowledge of big data systems (PostgreSQL, Elasticsearch)

• Familiarity with Java Spring Boot & Apache Kafka

• Strong communication and collaboration skills

Responsibilities:

• Provision, manage, and scale multi-cloud environments using IaC

• Design and maintain developer-friendly CI/CD workflows

• Implement real-time monitoring, alerting, and observability solutions

• Implement and enforce cloud security best practices

• Provide technical guidance to clients running Hawk’s platform

Experience Requirements:

• 5+ years in autonomous driving, robotics, planning, navigation, or control systems

• Strong expertise in motion planning, trajectory generation, or control theory

• Excellent C++/Python skills with real-time system experience

• Demonstrated team leadership or tech-lead responsibility

• Experience in automotive production environments (advantage)

Other Requirements:

• Strong system-level thinking, ownership, and willingness to be hands-on

Responsibilities:

• Lead the design and development of Planning & Control algorithms

• Build and mentor a top-performing engineering team

• Develop motion planning, trajectory optimization, and behavior layers

• Own robustness, performance, and safety across the decision pipeline

• Define clean interfaces between perception, prediction, world model, and actuation

Experience Requirements:

• 5+ years of experience in autonomous driving / robotics / motion planning / navigation / real-time systems

• Strong expertise in Path Planning and/or optimization-based planning methods

• Strong C++ skills (Python is a plus)

• Experience working with real-time systems and performance-critical code

• Experience in automotive production environments

Other Requirements:

• Strong problem-solving skills

• End-to-end ownership

• Ability to work independently

Responsibilities:

• Design and develop Path Planning algorithms

• Build planning components such as path generation and refinement

• Develop and improve planning modules integrated with our world model

• Implement and optimize algorithms in C++ with real-time performance constraints

• Work closely with perception, prediction, and control teams

Experience Requirements:

• 10+ years in automotive, mobility, or AI partnerships

• Proven track record of complex deals with OEMs and major technology companies

Other Requirements:

• Strong technical fluency in AI, perception, or autonomy

• Entrepreneurial mindset with ability to operate in a fast-moving startup

Responsibilities:

• Originate and structure strategic technology and commercial partnerships

• Translate technical capabilities into practical, scalable business models

• Lead multi-party collaborations across automotive and AI ecosystems

• Work closely with product and engineering to align partnerships with roadmap

• Represent the company in executive-level engagements and industry forums

Education Requirements:

• M.Sc. in Computer Science / Electrical Engineering from top-notch universities

Experience Requirements:

• At least 6 years of hands-on experience in deep learning, computer vision, and machine learning in Python

• Experience in writing highly optimized, scalable and reliable code

• Experience in writing real-time code for a target hardware - Advantage

• Strong knowledge of computer vision techniques - Advantage

Other Requirements:

• Research skills

• Team player

• Problem-solving skills

• Adaptability

• Initiative

Responsibilities:

• Implement, train, and evaluate recent state-of-the-art algorithms in computer vision

• Adapt algorithms into robust and scalable production-ready algorithms

• Write clean and efficient code

• Take full responsibility for algorithms end-to-end until deployment

• Develop new computer vision algorithms (architectures, loss functions, etc.)

Experience Requirements:

• 10+ years of experience in backend, infrastructure, DevOps, or platform engineering

• Proven experience leading and managing backend, DevOps, security, and IT functions

• Strong, hands-on background in data and infrastructure security

• Deep experience operating cloud platforms (AWS, GCP, or Azure)

• Hands-on expertise with Kubernetes and infrastructure-as-code tools

Other Requirements:

• Experience with CI/CD pipelines, monitoring, and incident management

• Solid experience with distributed systems and large-scale storage

• Experience supporting AI or ML workloads is a strong advantage

Responsibilities:

• Own backend infrastructure, DevOps, security, and internal IT operations

• Design and operate scalable cloud and on-prem infrastructure

• Lead the architecture and operation of systems handling massive volumes of data

• Establish and improve DevOps practices (CI/CD, monitoring, reliability)

• Define and enforce infrastructure and data security standards

Benefits:

• A key leadership role in a cutting-edge Automotive AI startup

• High level of ownership and impact on customer success

• Close collaboration with world-class R&D and Product teams

• Opportunity to build and lead local operations

Education Requirements:

• Strong technical background (Engineering, Computer Science, or similar)

Experience Requirements:

• Experience working with complex systems (automotive, ADAS, or AI)

• Proven ability to manage projects across multiple stakeholders

• Experience working directly with customers or external partners

• Leadership experience managing on-site or cross-functional teams

Other Requirements:

• Hands-on, execution-oriented mindset

• Strong communication skills in English

• Comfortable in a dynamic, fast-paced startup environment

• Experience with field operations - Advantage

Responsibilities:

• Lead and execute customer testing activities towards SOP readiness

• Own release execution at the site – planning, coordination, and validation

• Manage and oversee system testing and validation with drivers and engineers

• Act as the main interface between Hanoi site and R&D/Product teams

• Identify field issues, drive root-cause analysis, and coordinate resolution

Experience Requirements:

• 5+ years of experience in autonomous driving / robotics / motion planning / navigation

• Strong expertise in Path Planning and/or optimization-based planning methods

• Proven ability to lead technically in a hands-on role

• Strong C++ skills (Python is a plus)

• Experience in automotive production environments — advantage

Other Requirements:

• Strong problem-solving skills

• End-to-end ownership

• Experience with performance-critical code

Responsibilities:

• Lead the design and development of Path Planning algorithms

• Contribute directly to architecture, implementation, and debugging

• Build and evolve planning components

• Mentor and guide engineers within the planning team

• Develop and improve planning modules integrated with digital twin/edge-AI

Experience Requirements:

• 5+ years in embedded software architecture - Must

• Strong command of C++, Python, and embedded systems - Must

• Hands-on experience with SoC-based perception or planning systems - Must

• Experience with Linux/QNX, Git, Jira, UML, and SysML - Must

• Experience within the ADAS/AD domain – Advantage

Other Requirements:

• Exceptional analytical thinking and proactive ownership

• Ability to navigate complex system-level challenges

Responsibilities:

• Evolve high-level architecture for the ADAS/AD stack

• Map software components across CPUs, GPUs, NPUs, MCUs

• Ensure architecture is optimized for real-time embedded environments

• Lead selection and integration of DDS, ROS2, and AUTOSAR

• Review product requirements for feasibility and drive technical decomposition

Education Requirements:

• Ph.D. in Computer Science, Electrical Engineering, or another relevant field

Experience Requirements:

• Prior experience in leadership roles within R&D teams, or as VP R&D/CTO

• In-depth expertise in Vision AI (perception)

• Strong coding skills, preferably in Python and CPP

• Experience in real-time, physical-world applications

Other Requirements:

• Adaptability

• Technical Insight

• Collaborative Mindset

• Self-Driven

• Detail-Oriented

Responsibilities:

• Address complex AI challenges as a versatile 'joker card'

• Expedite projects and solve technical bottlenecks

• Provide specialized expertise as needed to accelerate outcomes

• Foster a culture of growth and technical excellence

• Collaborate closely with internal teams and guide staff

Education Requirements:

• B.Sc or M.Sc in Computer Science, Electrical Engineering, or a related field

Experience Requirements:

• 5+ years of hands-on experience in SW development for real-time systems

• Strong expertise in Python/C++ development

• Hands-on experience with ROS/ROS 2

• Prior experience in system-level development at major chip companies - Advantage

• Background in AI model deployment on edge platforms - Advantage

Other Requirements:

• Deep understanding of memory management and concurrency

• Strong problem-solving and debugging skills

Responsibilities:

• Design and develop infrastructure components for application groups

• Develop and maintain production-grade code for vehicles

• Profile, debug, and optimize platform infrastructure modules

• Integrate software components with hardware and other modules

• Create and maintain clear technical documentation

Benefits:

• industry leading competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• Ph.D., M.D., or equivalent advanced degree in cancer biology, molecular biology, pharmacology, computational biology, or a related discipline

Experience Requirements:

• Typically 12–20+ years of relevant experience in biotech or pharma

• Success advancing at least one oncology program into clinical development

• Deep expertise in translational science (biomarkers, MoA, resistance, combination biology)

• Experience working with large, complex translational and/or clinical datasets

• Track record of leading cross-functional teams

Other Requirements:

• Strong working knowledge of AI/ML concepts as applied to drug discovery

• Excellent scientific storytelling and communication skills

Responsibilities:

• Lead Portfolio-Level Translational Strategy

• Define Biomarker & Patient Selection Strategy

• Direct Mechanism of Action, Resistance & Combination Biology

• AI/ML-Enabled Translational & Clinical Prediction

• Build and Lead a High-Impact Organization

Benefits:

• industry leading competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• PhD in biochemistry, cell biology, cancer biology, pharmacology, or related discipline

• MS with 7+ years of experience

• BS with 9+ years of experience

Experience Requirements:

• At least 2 - 8 years of relevant academic or industry experience for PhD holders

• Experience in cancer research, mechanism of action/resistance, or translational biomarker development

• Hands-on experience in in vivo pharmacology (PK/PD, efficacy studies)

• Oversight and coordination of in vivo studies at CROs

• Proficiency in cell and molecular biology (cell culture, ELISA, Western blotting, qPCR, flow cytometry)

Other Requirements:

• Excellent communication skills

• Ability to work collaboratively across teams

• Highly motivated to learn new technologies

Responsibilities:

• Design and develop translational studies for various programs

• Design and manage in vivo pharmacology studies at CROs

• Design and execute hands-on experiments in cell and molecular biology

• Analyze and interpret data from internal experiments and CRO deliverables

• Conduct literature reviews to support mechanism of action and biomarker strategies

Benefits:

• industry leading competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• BS in Chemistry with 5+ years experience (pharma/biotech)

• MS in Chemistry with 3+ years experience (pharma/biotech)

Experience Requirements:

• Proven skills in multi-step organic synthesis and reaction optimization

• Experience in SAR analysis and scientific presentation

• Prior exposure to high-throughput experimentation (preferred)

• Familiarity with ADME-PK principles (preferred)

• Experience with molecular modeling and structure-based drug design (preferred)

Other Requirements:

• Ability to thrive in a fast-paced, highly collaborative research environment

• Availability to work onsite in San Diego

Responsibilities:

• Design, synthesize, purify, and characterize chemical compounds (10 mg–5 g scale)

• Identify and optimize reaction conditions using screening kits

• Collaborate with the high-throughput experimentation team

• Analyze biological and ADME-PK data using cheminformatics tools

• Partner with computational chemists to leverage machine learning insights

Benefits:

• industry leading competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• PhD or equivalent degree in computational chemistry (or related field)

Experience Requirements:

• 5+ years of experience working in an industry drug discovery environment

• Experience supporting active small molecule drug discovery programs

• Experience with ligand and structure based design tools

• Experience with MD simulation and advanced binding affinity prediction methods (preferred)

• Experience with ML-augmented small molecule discovery (preferred)

Other Requirements:

• Python programming skills

• Familiarity with MOE molecular modeling package (preferred)

• Proactive drug-hunter mindset

Responsibilities:

• Apply ligand and structure-based approaches across hit identification and lead optimization

• Guide design cycles through SAR identification and bioactivity data integration

• Partner with medicinal chemists to prioritize virtual libraries

• Partner with ML scientists to integrate SBDD methods with property prediction technology

• Leverage and evolve proprietary protein-ligand co-folding technology

Benefits:

• industry leading competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• PhD or equivalent degree in chemistry or another physical science

• PhD or equivalent degree in computational chemistry or machine learning in chemistry (preferred)

Experience Requirements:

• 3+ years of experience

• Familiarity with using statistical analysis techniques to adapt models

• 3+ years of experience working in a drug discovery project (preferred)

Other Requirements:

• Python programming skills

• Knowledge of statistics and drug discovery

• Excellent written and verbal communication skills

Responsibilities:

• Train, fine-tune, and evaluate machine learning models

• Partner with computational and medicinal chemists for decision-making

• Generate value from machine learning models for internal and partner use

• Communicate results with internal drug discovery teams

• Support the evolution of machine learning models with analytical feedback